Add Datastorage
This commit is contained in:
Silas
224
Classes/Warehouse_class/classes/DataStorage.m
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224
Classes/Warehouse_class/classes/DataStorage.m
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@@ -0,0 +1,224 @@
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classdef DataStorage < handle
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%DATASTORAGE Summary of this class goes here
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% Detailed explanation goes here
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properties
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inputParams = struct;
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parameter = struct;
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fn = [];
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dim = [];
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sto = {};
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% getPhysForIndex = struct;
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% getIndexForPhys = struct;
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end
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methods
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function obj = DataStorage(inputParams)
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%DATASTORAGE Construct an instance of this class
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% Detailed explanation goes here
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% scheiß Variablenname
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obj.inputParams = inputParams;
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% Field Names
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obj.fn = string(fieldnames(inputParams));
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% _______________
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% Two dicts that map between physical and array index :-)
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% Dictionary: 10 km -> 3
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% obj.getIndexForPhys = obj.buildIndexDict();
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% Dictionary: 3 -> 10Km
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% obj.getPhysForIndex = obj.buildPhysDict();
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% _______________
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% This is the 2nd Idea -> ecery given Param will be a class
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% instance of "Parameter", therin user can access the dicts and
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% informations... Have not decided which way is best..
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obj = obj.buildParameter();
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% get dimension of dataStorage
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% e.g. if we have L = [1,2,10,80] and D=[8, 17, 21], we would
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% need an array with dimesion [4,3].
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obj.dim = obj.getDimension();
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% finally, create the main storage as cell array
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obj.sto = struct;
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end
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function showInfo(obj)
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disp("Data Structure with fields:");
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fprintf('%-12s', 'Name'); fprintf('%1s', '| '); fprintf('%0s ', 'Dimension'); fprintf('%4s', '| '); fprintf('%0s ', 'Physical Values'); fprintf('\n');
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disp('----------------------------------------------------------------');
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for i = 1:numel(obj.fn)
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fprintf('%-12s', char(obj.fn(i))); fprintf('%1s', '| '); fprintf('%8.1i ', obj.dim(i)); fprintf('%5s', '| '); fprintf('%-7s ', string(obj.parameter.(obj.fn(i)).values) ); fprintf('\n');
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end
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disp('----------------------------------------------------------------');
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stofn = string(fieldnames(obj.sto));
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for s = 1:numel(stofn)
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nonempty = numel(find(~cellfun(@isempty,obj.sto.(stofn(s)))));
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overall = numel(obj.sto.(stofn(s)));
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fprintf('%-8s', 'Storage '); fprintf('%-10s', char(stofn(s))); fprintf('%4s', 'filled with '); fprintf('%-5s', num2str(nonempty)); fprintf('%-1s', ' entries -> '); fprintf('%-5s', num2str(nonempty/overall*100)); fprintf('%-1s', '% filled'); fprintf('\n');
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end
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end
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function dim = getDimension(obj)
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dim = zeros(1,numel(obj.fn));
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for p = 1:numel(obj.fn)
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%loop all parameter names and add their length :-)
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dim(p)=obj.parameter.(obj.fn(p)).length;
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end
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end
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function obj = buildParameter(obj)
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for p = 1:numel(obj.fn)
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name = obj.fn(p);
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values = obj.inputParams.(name);
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obj.parameter.(name) = Parameter(name,values);
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end
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end
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function addStorage(obj,varName)
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% add a storage
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storage = cell(obj.dim);
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obj.sto.(string(varName)) = storage;
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end
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function addValueToStorage(obj, valueToStore ,storageVarName, varargin)
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if nargin-3 == numel(obj.fn)
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lin_idx = obj.getIndicesByPhys(varargin);
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obj.sto.(storageVarName){lin_idx} = valueToStore;
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else
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error('Specify all the indices to access the right place in storage!')
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end
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end
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% Access Value(s)
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function value = getStoValue(obj,storageVarName, varargin)
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if nargin-2 == numel(obj.fn)
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%es wurden aausreichend argumente übergeben :-)
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%es gibt jedoch erstmal keinen Check ob die Reihenfolge
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%richtig ist
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value = [];
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lin_idx = obj.getIndicesByPhys(varargin);
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errcnt = 0;
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for i=1:numel(lin_idx)
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try
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tmp = obj.sto.(storageVarName){lin_idx(i)};
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if ~isempty(tmp)
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value(i,:) = tmp ;
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else
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errcnt = errcnt+1;
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if errcnt < 3
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%get back the n-dimensional subiondices...
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[sub{1:length(size(obj.sto.(storageVarName)))}] = ind2sub(size(obj.sto.(storageVarName)),lin_idx(i));
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%get back the physical representaion
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word = [];
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for phys_idx = 1:numel(obj.fn)
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parametername = obj.fn(phys_idx);
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word = [word,char(parametername),': ', num2str(obj.parameter.(parametername).getPhysForIndex(sub{phys_idx})),' ;'];
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end
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% warning(['Requested Data is not in Warehouse ', word]);
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elseif errcnt == 3
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% warning(['... ', word]);
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end
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end
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if errcnt > 2
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% warning([num2str(errcnt),' requested datapoint(s) not in warehouse.']);
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end
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catch
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error('Error in Datastorage: Something happened while looking up in warehouse.')
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end
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end
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else
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error('Wrong Request using ExampleWarehouse.getStoValue(*parameter set*). Give me all the Parameters! Please!')
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end
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end
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% Mapping for several Indices (calls the mapping for single index)
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function lin_idx = getIndicesByPhys(obj,varargin)
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%map _all_ phys. to indices - several calls of single mapping
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inputsz = cellfun(@size,varargin{1},'UniformOutput',false);
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inputmax = cell2mat(cellfun(@max,inputsz,'UniformOutput',false));
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% I wrote this method for a single query, then refined it for vectorial
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% inputs (which work fine), but lastly recognized that I
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% destroyed single query... however, this if / else will fix it!
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if sum(inputmax)==length(inputmax)
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vecQuery = 1; %set any value to one
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else
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vecQuery = find(inputmax~=1); %position of vectorial queries
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end
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q={};
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for i = 1:numel(vecQuery)
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q{i} = varargin{1,1}{vecQuery(i)}; %the two vectors
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end
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combination = combvec(q{:}); %combine all possible combinations
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for c = 1:length(combination)
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%loop over all possible combinations
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indices = {};
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str = [];
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for r = 1:numel(vecQuery)
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%replace varargin with current query (could have been renamed... however it works)
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varargin{1}{vecQuery(r)} = combination(r,c);
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end
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for p = 1:numel(obj.fn)
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curPhysQuery = varargin{1}{p}; %can be: a) single value // b) range
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curParameterName = obj.fn(p);
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indices{end+1} = obj.getIndexByPhys(curParameterName,curPhysQuery);
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% str = [str, ',indices{', num2str(p), '}'];
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end
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%append to index list :-)
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fn_=fieldnames(obj.sto);
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n_ = fn_{1};
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lin_idx(c,:) = sub2ind(size(obj.sto.(n_)),indices{:});
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% lin_idx(c,:) = eval(['sub2ind(size(obj.sto.',n_,')',str,');']);
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end
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end
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% Mapping for single Index
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function idx = getIndexByPhys(obj,fieldname,phys)
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%map single phys to index
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idx = obj.parameter.(fieldname).getIndexForPhys(phys);
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end
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end
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end
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44
Classes/Warehouse_class/classes/Parameter.m
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44
Classes/Warehouse_class/classes/Parameter.m
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@@ -0,0 +1,44 @@
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classdef Parameter < handle
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%PARAMETER Summary of this class goes here
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% Detailed explanation goes here
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properties
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name
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values
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indices
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length
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getPhysForIndex = dictionary;
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getIndexForPhys = dictionary;
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end
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methods
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function obj = Parameter(name, values)
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%PARAMETER Construct
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obj.name = name;
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obj.values = values;
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obj.indices = [1:numel(obj.values)];
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obj.length = length(obj.values);
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obj = obj.buildIndexForPhysDict();
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obj = obj.buildPhysForIndexDict();
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end
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function obj = buildPhysForIndexDict(obj)
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%take Index
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%return Phys
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for idx = 1:numel(obj.values)
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obj.getPhysForIndex(idx) = obj.values(idx);
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end
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end
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function obj = buildIndexForPhysDict(obj)
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%take Phys
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%return Index
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for idx = 1:numel(obj.values)
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obj.getIndexForPhys(obj.values(idx)) = idx;
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end
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end
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end
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end
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251
Classes/Warehouse_class/functions/fwm_plots/CompleteRoutine.m
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251
Classes/Warehouse_class/functions/fwm_plots/CompleteRoutine.m
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@@ -0,0 +1,251 @@
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% Script, that shows the data management routine :-)
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loadExistingWareHouse = 0;
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if loadExistingWareHouse
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[file, path] = uigetfile();
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wh = load([path filesep file]);
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wh = wh.wh;
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wh.showInfo;
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else
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% 1) Define all your parameters, best practice directly constructs a
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% structure
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params = struct;
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params.l = [2,10];
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params.dispersion = [0];
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params.sgm = [0];
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% params.pol = ["YXYXYXYX","YXXYYXXY","YYYYYYYY"];
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params.pol = ["alternated","paired","copolarized"];
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params.p_in = [3];
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params.p_out = [-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2];
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params.pmd = [0.1];
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params.gamma = [0.0023];
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params.realization = [1:20];
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params.numchannels = [16];
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params.center_wavelength = floor([getSweepWavelengths(35, 50e9, 1310)] .* 1000) ./ 1000 ;
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params.center_wavelength = [1285 1287 1290 1292 1295];
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params.center_wavelength = 1310;
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params.channelspacing = [400e9];
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params.random_zdw = [0];
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%wh = warehouse :-)
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wh = DataStorage(params);
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wh.showInfo;
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wh.addStorage("ber");
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wh.addStorage("totalBer");
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end
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%2) Simulate a bunch of data - TO BE IMPLEMENTED HERE - for now use scripts
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%from Sebastian
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%3) Once the simulation folder is around, specifiy path and analyze dirs
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path = uigetdir('C:\Users\Silas\Documents\MATLAB\Raw_Cluster_Simulations');
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allMat = getAllFilesInFolder(path,'.mat');
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allErr = getAllFilesInFolder(path,'.err');
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%allMat = dir([path filesep '*.mat']);
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%allErr = dir([path filesep '*.err']);
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if numel(allMat) == 0
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warning('You defined an empty folder. Could not locate any .mat file.')
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else
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fprintf('%-20s', 'Err Files:'); fprintf('%-12s', num2str(numel(allErr))); fprintf('\n');
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fprintf('%-20s', 'Mat Files:'); fprintf('%-12s', num2str(numel(allMat))); fprintf('\n');
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fprintf('%-20s', 'Missing Mat Files:'); fprintf('%-12s', num2str(numel(allErr)-numel(allMat))); fprintf('\n');
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end
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%4) Now load that data
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f = waitbar(0,'Please wait...');
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cnt = 0;
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for num = 1:numel(allMat)
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fileName = allMat(num).name;
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fileFolder = allMat(num).path;
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fileExt = allMat(num).ext;
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%
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matFile = load([fileFolder filesep fileName fileExt]);
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matFile = matFile.loop_data;
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% ____________________________________
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% FIND THE DATAPOINT CURRENTLY LOADED
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zdw = 1310;
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channelplan = "symmetric";
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channelspacing = str2double(strrep(regexp(fileName,'(_chsp)+([\d]*)','match'),'_chsp','')).*1e9;
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numchannels = str2double(strrep(regexp(fileName,'(ch)+(_)+([\d]*)','match'),'ch_',''));
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center_wavelength = str2double(insertAfter(strrep(regexp(fileName,'(lambda)+([\d]*)','match'),'lambda',''),4,'.'));
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center_wavelength = floor(center_wavelength * 1000) / 1000;
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if center_wavelength == 2192
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continue
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end
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center_wavelength = 1310;
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random_zdw = str2double(strrep(regexp(fileName,'(rzwd)+([\d])','match'),'rzwd',''));
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l = str2double(strrep(regexp(fileName,'([L])+(_)+([\d]*)','match'),'L_',''));
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d = str2double(strrep(regexp(fileName,'([D])+(_)+([\d]*)','match'),'D_',''));
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if d == 0
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sgm = false;
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else
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sgm = true;
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end
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if numel(regexp(fileName,'(YYYY)','match')) > 1
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pol = "copolarized";
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elseif numel(regexp(fileName,'(YXXY)','match')) > 1
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pol = "paired";
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elseif numel(regexp(fileName,'(YXYX)','match')) > 1
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pol = "alternated";
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else
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pol = "copolarized";
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end
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p_in = str2double(strrep(regexp(fileName,'(pow_)+([-,\d]{1})','match'),'pow_',''));
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pmd = 0.1;
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gamma = 0.0023;
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realiz = str2double(strrep(regexp(fileName,'(r)+([-,\d]{1,3})','match'),'r',''));
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% ____________________________________
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% Get the information you want from current file
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rop=[];
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ber = [];
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for pow = 2:12
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module_number = '';
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for p = 1:11 %11 because there are 11 ROP branches in model
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% get ROP
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if p == 1
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p_out = matFile.dp_optatten_para.atten;
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else
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p_out = matFile.("dp_optatten__"+(p)+"_para").atten;
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end
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p_out = round(p_out-10*log10(numel(matFile.config.parameters.common.wavelengthPlan)));
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for c = 1:numel(matFile.config.parameters.common.wavelengthPlan)
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ber(c) = matFile.("prms_compare_wdm__"+(p+1)+"_out"){1,c}.ber;
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end
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totalBer = matFile.("prms_compare_wdm__"+(p+1)+"_out"){1,end}.totalBer;
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if totalBer > 0.2 && channelspacing == 400e9 && pol == "alternated"
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disp("stopping here");
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pause;
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end
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% ____________________________________
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% Add value to warehouse at the correct position
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wh.addValueToStorage(ber,'ber',l,d,sgm,pol,p_in,p_out,pmd,gamma,realiz,numchannels, center_wavelength,channelspacing,random_zdw);
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wh.getStoValue('ber',l,d,sgm,pol,p_in,p_out,pmd,gamma,realiz,numchannels, center_wavelength,channelspacing,random_zdw);
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wh.addValueToStorage(totalBer,'totalBer',l,d,sgm,pol,p_in,p_out,pmd,gamma,realiz,numchannels,center_wavelength,channelspacing,random_zdw);
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end
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end
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waitbar(num/numel(allMat),f,'Loading your data');
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end
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close(f)
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% 4) Hey! the warehouse is here and (hopefully) filled with data :-)
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% Create a save dialog
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defaultDir = 'C:\Users\Silas\Documents\MATLAB\Raw_Cluster_Simulations\';
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defaultExt = '*.mat';
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[filename, pathname] = uiputfile(fullfile(defaultDir, defaultExt),'', 'wh.mat');
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% Check if the user pressed Cancel
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if isequal(filename, 0) || isequal(pathname, 0)
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disp('Save operation canceled.');
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else
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% Save the variable to the selected file
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save(fullfile(pathname, filename), 'wh');
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disp(['Variable "wh" saved to: ', fullfile(pathname, filename)]);
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end
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||||
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||||
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function matFileStructArray = getAllFilesInFolder(folderPath,extension)
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||||
% Get a list of all files in the current folder
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||||
currentFolderFiles = dir(fullfile(folderPath, '*'));
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||||
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||||
% Exclude '.' and '..' directories
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||||
currentFolderFiles = currentFolderFiles(~ismember({currentFolderFiles.name}, {'.', '..'}));
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% Initialize the structure array for .mat files
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||||
matFileStructArray = struct('path', {}, 'name', {}, 'ext', {});
|
||||
|
||||
% Loop over each file in the current folder
|
||||
for i = 1:length(currentFolderFiles)
|
||||
currentFile = currentFolderFiles(i);
|
||||
|
||||
% Check if the current item is a file and has a .mat extension
|
||||
if ~currentFile.isdir && endsWith(currentFile.name, extension, 'IgnoreCase', true)
|
||||
% If it's a .mat file, add it to the structure array
|
||||
[matFileStructArray(end + 1).path,matFileStructArray(end+1).name, matFileStructArray(end+1).ext] = fileparts(fullfile(folderPath, currentFile.name));
|
||||
elseif currentFile.isdir
|
||||
% If it's a directory, recursively call the function
|
||||
subfolderPath = fullfile(folderPath, currentFile.name);
|
||||
subfolderMatFiles = getAllFilesInFolder(subfolderPath,extension);
|
||||
|
||||
% Add .mat files from the subfolder to the structure array
|
||||
matFileStructArray = [matFileStructArray, subfolderMatFiles];
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
@@ -0,0 +1,250 @@
|
||||
% Script, that shows the data management routine :-)
|
||||
|
||||
loadExistingWareHouse = 0;
|
||||
|
||||
if loadExistingWareHouse
|
||||
|
||||
[file, path] = uigetfile();
|
||||
wh = load([path filesep file]);
|
||||
wh = wh.wh;
|
||||
wh.showInfo;
|
||||
|
||||
else
|
||||
|
||||
% 1) Define all your parameters, best practice directly constructs a
|
||||
% structure
|
||||
|
||||
params = struct;
|
||||
|
||||
params.l = [2, 10];
|
||||
|
||||
params.dispersion = [0, 3];
|
||||
|
||||
params.sgm = [0, 1];
|
||||
|
||||
% params.pol = ["YXYXYXYX","YXXYYXXY","YYYYYYYY"];
|
||||
params.pol = ["alternated","paired","copolarized"];
|
||||
|
||||
params.p_in = [3];
|
||||
|
||||
params.p_out = [-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2];
|
||||
|
||||
params.pmd = [0.1];
|
||||
|
||||
params.gamma = [0.0023];
|
||||
|
||||
params.realization = [1:20];
|
||||
|
||||
params.numchannels = [1,2,4,8,16];
|
||||
|
||||
params.center_wavelength = floor([getSweepWavelengths(35, 50e9, 1310)] .* 1000) ./ 1000 ;
|
||||
params.center_wavelength = [1285 1287 1290 1292 1295];
|
||||
params.center_wavelength = 1310;
|
||||
|
||||
params.channelspacing = [400e9];
|
||||
|
||||
params.random_zdw = [0,1];
|
||||
|
||||
%wh = warehouse :-)
|
||||
wh = DataStorage(params);
|
||||
|
||||
wh.showInfo;
|
||||
|
||||
wh.addStorage("ber");
|
||||
|
||||
wh.addStorage("totalBer");
|
||||
|
||||
end
|
||||
|
||||
|
||||
|
||||
%2) Simulate a bunch of data - TO BE IMPLEMENTED HERE - for now use scripts
|
||||
%from Sebastian
|
||||
|
||||
%3) Once the simulation folder is around, specifiy path and analyze dirs
|
||||
|
||||
path = uigetdir('C:\Users\Silas\Documents\MATLAB\Raw_Cluster_Simulations');
|
||||
|
||||
allMat = getAllFilesInFolder(path,'.mat');
|
||||
allErr = getAllFilesInFolder(path,'.err');
|
||||
|
||||
%allMat = dir([path filesep '*.mat']);
|
||||
|
||||
%allErr = dir([path filesep '*.err']);
|
||||
|
||||
if numel(allMat) == 0
|
||||
warning('You defined an empty folder. Could not locate any .mat file.')
|
||||
else
|
||||
fprintf('%-20s', 'Err Files:'); fprintf('%-12s', num2str(numel(allErr))); fprintf('\n');
|
||||
fprintf('%-20s', 'Mat Files:'); fprintf('%-12s', num2str(numel(allMat))); fprintf('\n');
|
||||
fprintf('%-20s', 'Missing Mat Files:'); fprintf('%-12s', num2str(numel(allErr)-numel(allMat))); fprintf('\n');
|
||||
end
|
||||
|
||||
%4) Now load that data
|
||||
|
||||
f = waitbar(0,'Please wait...');
|
||||
cnt = 0;
|
||||
|
||||
for num = 1:numel(allMat)
|
||||
|
||||
fileName = allMat(num).name;
|
||||
fileFolder = allMat(num).path;
|
||||
fileExt = allMat(num).ext;
|
||||
%
|
||||
matFile = load([fileFolder filesep fileName fileExt]);
|
||||
matFile = matFile.loop_data;
|
||||
|
||||
% ____________________________________
|
||||
% FIND THE DATAPOINT CURRENTLY LOADED
|
||||
zdw = 1310;
|
||||
|
||||
channelplan = "symmetric";
|
||||
|
||||
channelspacing = str2double(strrep(regexp(fileName,'(_chsp)+([\d]*)','match'),'_chsp','')).*1e9;
|
||||
|
||||
numchannels = str2double(strrep(regexp(fileName,'(ch)+(_)+([\d]*)','match'),'ch_',''));
|
||||
|
||||
center_wavelength = str2double(insertAfter(strrep(regexp(fileName,'(lambda)+([\d]*)','match'),'lambda',''),4,'.'));
|
||||
|
||||
center_wavelength = floor(center_wavelength * 1000) / 1000;
|
||||
|
||||
if center_wavelength == 2192
|
||||
continue
|
||||
end
|
||||
|
||||
center_wavelength = 1310;
|
||||
|
||||
random_zdw = str2double(strrep(regexp(fileName,'(rzwd)+([\d])','match'),'rzwd',''));
|
||||
|
||||
l = str2double(strrep(regexp(fileName,'([L])+(_)+([\d]*)','match'),'L_',''));
|
||||
|
||||
d = str2double(strrep(regexp(fileName,'([D])+(_)+([\d]*)','match'),'D_',''));
|
||||
|
||||
if d == 0
|
||||
sgm = false;
|
||||
else
|
||||
sgm = true;
|
||||
end
|
||||
|
||||
|
||||
if numel(regexp(fileName,'(YYYY)','match')) > 1
|
||||
pol = "copolarized";
|
||||
elseif numel(regexp(fileName,'(YXXY)','match')) > 1
|
||||
pol = "paired";
|
||||
elseif numel(regexp(fileName,'(YXYX)','match')) > 1
|
||||
pol = "alternated";
|
||||
else
|
||||
pol = "copolarized";
|
||||
end
|
||||
|
||||
p_in = str2double(strrep(regexp(fileName,'(pow_)+([-,\d]{1})','match'),'pow_',''));
|
||||
|
||||
pmd = 0.1;
|
||||
|
||||
gamma = 0.0023;
|
||||
|
||||
realiz = str2double(strrep(regexp(fileName,'(r)+([-,\d]{1,3})','match'),'r',''));
|
||||
|
||||
|
||||
|
||||
% ____________________________________
|
||||
% Get the information you want from current file
|
||||
rop=[];
|
||||
ber = [];
|
||||
for pow = 2:12
|
||||
|
||||
module_number = '';
|
||||
for p = 1:11 %11 because there are 11 ROP branches in model
|
||||
|
||||
% get ROP
|
||||
if p == 1
|
||||
p_out = matFile.dp_optatten_para.atten;
|
||||
else
|
||||
p_out = matFile.("dp_optatten__"+(p)+"_para").atten;
|
||||
end
|
||||
|
||||
p_out = round(p_out-10*log10(numel(matFile.config.parameters.common.wavelengthPlan)));
|
||||
|
||||
for c = 1:numel(matFile.config.parameters.common.wavelengthPlan)
|
||||
|
||||
ber(c) = matFile.("prms_compare_wdm__"+(p+1)+"_out"){1,c}.ber;
|
||||
|
||||
end
|
||||
|
||||
totalBer = matFile.("prms_compare_wdm__"+(p+1)+"_out"){1,end}.totalBer;
|
||||
|
||||
if totalBer > 0.2 && channelspacing == 400e9 && pol == "alternated"
|
||||
disp("stopping here");
|
||||
pause;
|
||||
end
|
||||
|
||||
% ____________________________________
|
||||
% Add value to warehouse at the correct position
|
||||
|
||||
|
||||
|
||||
wh.addValueToStorage(ber,'ber',l,d,sgm,pol,p_in,p_out,pmd,gamma,realiz,numchannels, center_wavelength,channelspacing,random_zdw);
|
||||
wh.getStoValue('ber',l,d,sgm,pol,p_in,p_out,pmd,gamma,realiz,numchannels, center_wavelength,channelspacing,random_zdw);
|
||||
wh.addValueToStorage(totalBer,'totalBer',l,d,sgm,pol,p_in,p_out,pmd,gamma,realiz,numchannels,center_wavelength,channelspacing,random_zdw);
|
||||
|
||||
end
|
||||
|
||||
end
|
||||
waitbar(num/numel(allMat),f,'Loading your data');
|
||||
end
|
||||
|
||||
close(f)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
% 4) Hey! the warehouse is here and (hopefully) filled with data :-)
|
||||
|
||||
% Create a save dialog
|
||||
defaultDir = 'C:\Users\Silas\Documents\MATLAB\Raw_Cluster_Simulations\';
|
||||
defaultExt = '*.mat';
|
||||
[filename, pathname] = uiputfile(fullfile(defaultDir, defaultExt),'', 'wh.mat');
|
||||
|
||||
% Check if the user pressed Cancel
|
||||
if isequal(filename, 0) || isequal(pathname, 0)
|
||||
disp('Save operation canceled.');
|
||||
else
|
||||
% Save the variable to the selected file
|
||||
save(fullfile(pathname, filename), 'wh');
|
||||
disp(['Variable "wh" saved to: ', fullfile(pathname, filename)]);
|
||||
end
|
||||
|
||||
|
||||
|
||||
|
||||
function matFileStructArray = getAllFilesInFolder(folderPath,extension)
|
||||
% Get a list of all files in the current folder
|
||||
currentFolderFiles = dir(fullfile(folderPath, '*'));
|
||||
|
||||
% Exclude '.' and '..' directories
|
||||
currentFolderFiles = currentFolderFiles(~ismember({currentFolderFiles.name}, {'.', '..'}));
|
||||
|
||||
% Initialize the structure array for .mat files
|
||||
matFileStructArray = struct('path', {}, 'name', {}, 'ext', {});
|
||||
|
||||
% Loop over each file in the current folder
|
||||
for i = 1:length(currentFolderFiles)
|
||||
currentFile = currentFolderFiles(i);
|
||||
|
||||
% Check if the current item is a file and has a .mat extension
|
||||
if ~currentFile.isdir && endsWith(currentFile.name, extension, 'IgnoreCase', true)
|
||||
% If it's a .mat file, add it to the structure array
|
||||
[matFileStructArray(end + 1).path,matFileStructArray(end+1).name, matFileStructArray(end+1).ext] = fileparts(fullfile(folderPath, currentFile.name));
|
||||
elseif currentFile.isdir
|
||||
% If it's a directory, recursively call the function
|
||||
subfolderPath = fullfile(folderPath, currentFile.name);
|
||||
subfolderMatFiles = getAllFilesInFolder(subfolderPath,extension);
|
||||
|
||||
% Add .mat files from the subfolder to the structure array
|
||||
matFileStructArray = [matFileStructArray, subfolderMatFiles];
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
394
Classes/Warehouse_class/functions/fwm_plots/automate_JLT_plots.m
Normal file
394
Classes/Warehouse_class/functions/fwm_plots/automate_JLT_plots.m
Normal file
@@ -0,0 +1,394 @@
|
||||
|
||||
|
||||
%automate plots
|
||||
[file, path] = uigetfile("C:\Users\Silas\Documents\MATLAB\Datensätze\Raw_Cluster_Simulations\session_februar_24\wh_mi_nacht.mat");
|
||||
wh = load([path filesep file]);
|
||||
wh = wh.wh;
|
||||
|
||||
plotJob = struct();
|
||||
width = 350;
|
||||
height = 200;
|
||||
plotJob.Position = [100 100 width 100+height];
|
||||
cols = cbrewer2("paired",12);
|
||||
plotJob.color = cols(1,:);
|
||||
plotJob.l = 2;
|
||||
plotJob.ch = 16;
|
||||
plotJob.d = 0;
|
||||
plotJob.sgm = 0;
|
||||
plotJob.pol = "copolarized";
|
||||
plotJob.p_in = 3;
|
||||
plotJob.gamma = 0;
|
||||
plotJob.pmd = 0;
|
||||
plotJob.channelspacing = 400e9;
|
||||
plotJob.randzdw = 0;
|
||||
|
||||
|
||||
plotJob.plot_ber_curve = 1;
|
||||
plotJob.plot_3dber_curve = 0;
|
||||
plotJob.plot_violin = 0;
|
||||
plotJob.plot_wavelength_sweep = 0;
|
||||
plotJob.plot_wavelength_sweep_failure_rate = 0;
|
||||
|
||||
|
||||
plotJob.dataStatArg = 'Lineplot with quartiles';
|
||||
plotJob.plotTypeArg = 'Lines';
|
||||
plotJob.displayname = 'a';
|
||||
plotJob.title = 'title';
|
||||
plotJob.figName = '16 Chann__';
|
||||
plotJob.xAxisLabel = 'ROP per Channel in dBm';
|
||||
plotJob.yAxisLabel = 'BER';
|
||||
|
||||
% createbercurves(wh,plotJob)
|
||||
createviolinplots(wh,plotJob);
|
||||
% createsweepplots(wh,plotJob);
|
||||
|
||||
|
||||
%% 1
|
||||
function createbercurves(wh,plotJob)
|
||||
width = 1650;
|
||||
height = 400;
|
||||
s = 100;
|
||||
e = 100;
|
||||
|
||||
cols = cbrewer2("paired",12);
|
||||
numRows = 2;
|
||||
numCols = 4;
|
||||
|
||||
plotJob.figName = '16 Chann_200G';
|
||||
plotJob.channelspacing = 400e9;
|
||||
plotJob.ch = 16;
|
||||
Len = [2,2,2,2,10,10,10,10];
|
||||
Pol = ["copolarized","alternated","paired","copolarized","copolarized","alternated","paired","copolarized"];
|
||||
Title = ["Co Polarized","Alternating Pol. Interl.","Paired Pol. Interl.","Link Segmentation",];
|
||||
D = [0,0,0,3,0,0,0,3];
|
||||
Sgm = [0,0,0,1,0,0,0,1];
|
||||
|
||||
colidx = [4,8,6];
|
||||
P_launch = [0,3,6];
|
||||
|
||||
fig = figure('Name',plotJob.figName);
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [0 0 18 7];
|
||||
t = tiledlayout(numRows,numCols,'TileSpacing','compact','Padding','compact');
|
||||
for idx = 1:(numRows * numCols)
|
||||
% Create subplot
|
||||
% sp = subplot(numRows, numCols, idx);
|
||||
nexttile;
|
||||
plotJob.l = Len(idx);
|
||||
plotJob.pol = Pol(idx);
|
||||
plotJob.d = D(idx);
|
||||
plotJob.sgm = Sgm(idx);
|
||||
plotJob.randzdw = 1;
|
||||
|
||||
for i = 1:3
|
||||
|
||||
plotJob.p_in = P_launch(i);
|
||||
plotJob.color = cols(colidx(i),:);
|
||||
hold on
|
||||
plotCurve(wh, plotJob);
|
||||
|
||||
end
|
||||
%
|
||||
if idx ~= 1 && idx ~= 5 % For example, hide y-axis for subplot 1
|
||||
set(gca, 'YTickLabel',[]); % Hide y-axis ticks and labels
|
||||
set(gca,'YGrid','on');
|
||||
set(gca, 'YLabel', []);
|
||||
end
|
||||
if idx ~= 5 && idx ~= 6 && idx ~= 7 && idx ~= 8
|
||||
set(gca, 'XLabel', []);
|
||||
set(gca, 'XTickLabel', []);
|
||||
|
||||
end
|
||||
grid on
|
||||
|
||||
g = gca;
|
||||
pos = g.Position;
|
||||
if idx <= 4
|
||||
title(Title(idx),'FontSize',8);
|
||||
% a = annotation('textbox', pos-[0.0020 -0.1434 0.0947 0.3121], 'String', "FEC: 3.8e-3","LineStyle","none","FontSize",8,'LineWidth',0.1,'Interpreter','latex',"FontUnits","points",'Vert','middle','FitBoxToText','on');
|
||||
% a = annotation('textbox', pos, 'String', "2 km","LineStyle","none","FontSize",8,'LineWidth',0.1,'Interpreter','latex',"FontUnits","points",'Vert','bottom','FitBoxToText','on');
|
||||
else
|
||||
% a = annotation('textbox', pos, 'String', "FEC: 3.8e-3","LineStyle","none","FontSize",8,'LineWidth',0.1,'Interpreter','latex',"FontUnits","points",'Vert','middle','FitBoxToText','on');
|
||||
% a = annotation('textbox', pos, 'String', "10 km","LineStyle","none","FontSize",8,'LineWidth',0.1,'Interpreter','latex',"FontUnits","points",'Vert','bottom','FitBoxToText','on');
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.0696078431372547 0.246851385390432 0.0656862745098043 0.0453400503778337],...
|
||||
'String','10 km',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.288235294117647 0.239294710327459 0.0656862745098043 0.0453400503778338],...
|
||||
'String','10 km',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.516666666666666 0.241813602015117 0.0656862745098042 0.0453400503778338],...
|
||||
'String','10 km',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.742156862745097 0.236775818639802 0.0656862745098042 0.0453400503778339],...
|
||||
'String','10 km',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.071996471804854 0.578899159967702 0.0656862745098039 0.0453400503778341],...
|
||||
'String',{'2 km'},...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.29596893566113 0.576253721089996 0.0656862745098041 0.0453400503778341],...
|
||||
'String',{'2 km'},...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.524883914268912 0.580785315705112 0.0656862745098041 0.0453400503778341],...
|
||||
'String',{'2 km'},...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.753758338909501 0.581291504465311 0.0656862745098037 0.0453400503778341],...
|
||||
'String',{'2 km'},...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
a=sgtitle(['N=',num2str(plotJob.ch),'; $\Delta f_{\mathrm{ch}}$= ',num2str(plotJob.channelspacing*1e-9),' GHz'],'FontSIze',10);
|
||||
a.Interpreter = "latex";
|
||||
|
||||
lgd = legend('$P_{\mathrm{in}}=0$ dBm','$P_{\mathrm{in}}=3$ dBm','$P_{\mathrm{in}}=6$ dBm','Interpreter','latex');
|
||||
lgd.NumColumns = 3;
|
||||
lgd.Layout.Tile = 'south';
|
||||
|
||||
copygraphics(t,'BackgroundColor','none');
|
||||
end
|
||||
|
||||
%% 2
|
||||
function createviolinplots(wh,plotJob)
|
||||
width = 350;
|
||||
height = 200;
|
||||
s = 100;
|
||||
e = 100;
|
||||
|
||||
cols = cbrewer2("paired",12);
|
||||
numRows = 1;
|
||||
numCols = 4;
|
||||
|
||||
|
||||
plotJob.ch = 16;
|
||||
plotJob.p_in = 3;
|
||||
plotJob.randzdw = 0;
|
||||
|
||||
Pol = ["copolarized","copolarized","alternated","paired",];
|
||||
Title = ["Co Pol.","Link Segmentation","Paired Pol. Interl.","Alternating Pol. Interl."];
|
||||
D = [0,3,0,0];
|
||||
Sgm = [0,1,0,0];
|
||||
|
||||
colidx = [2];
|
||||
Len = [2];
|
||||
|
||||
plotJob.figName = ['_Violin',num2str(plotJob.ch),' Channels; ',num2str(plotJob.channelspacing*1e-9),' GHz; ',num2str(plotJob.p_in),' dBm; randomized: ', num2str(plotJob.randzdw)];
|
||||
fig = figure('Name',plotJob.figName);
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [0 0 18 7];
|
||||
|
||||
t = tiledlayout(numRows,numCols,'TileSpacing','compact','Padding','compact');
|
||||
for idx = 1:(numRows * numCols)
|
||||
% Create subplot
|
||||
%subplot(numRows, numCols, idx);
|
||||
nexttile;
|
||||
|
||||
plotJob.pol = Pol(idx);
|
||||
plotJob.d = D(idx);
|
||||
plotJob.sgm = Sgm(idx);
|
||||
|
||||
for i = 1
|
||||
|
||||
plotJob.color = cols(colidx(i),:);
|
||||
plotJob.l = Len(i);
|
||||
hold on
|
||||
plotViolin(wh, plotJob);
|
||||
|
||||
end
|
||||
|
||||
if idx ~= 1 % For example, hide y-axis for subplot 1
|
||||
%set(gca, 'YTickLabel',[]); % Hide y-axis ticks and labels
|
||||
set(gca, 'YGrid','on');
|
||||
set(gca, 'YLabel', []);
|
||||
end
|
||||
|
||||
if idx <= 4
|
||||
title(Title(idx));
|
||||
end
|
||||
|
||||
|
||||
end
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.300019607843137 0.816120906801009 0.108803921568628 0.0906801007556676],...
|
||||
'String','$P_{\mathrm{in}}=3$ dBm',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.530411764705882 0.81612090680101 0.108803921568628 0.0906801007556676],...
|
||||
'String','$P_{\mathrm{in}}=3$ dBm',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.755901960784313 0.816120906801011 0.108803921568628 0.0906801007556676],...
|
||||
'String','$P_{\mathrm{in}}=3$ dBm',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(fig,'textbox',...
|
||||
[0.0696274509803918 0.584382871536529 0.108803921568628 0.0906801007556676],...
|
||||
'String','$P_{\mathrm{in}}=3$ dBm',...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FontSize',8,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
copygraphics(t,'BackgroundColor','none');
|
||||
% lgd = legend('$P_{\mathrm{in}}=0$ dBm','$P_{\mathrm{in}}=3$ dBm','$P_{\mathrm{in}}=6$ dBm','Interpreter','latex');
|
||||
% lgd.NumColumns = 3;
|
||||
% lgd.Layout.Tile = 'south';
|
||||
|
||||
end
|
||||
|
||||
%% 3
|
||||
function createsweepplots(wh,plotJob)
|
||||
|
||||
width = 650;
|
||||
height = 200;
|
||||
s = 100;
|
||||
e = 100;
|
||||
plotJob.Position = [0 0 width e+height];
|
||||
|
||||
cols = cbrewer2("paired",12);
|
||||
numRows = 1;
|
||||
numCols = 4;
|
||||
|
||||
|
||||
plotJob.channelspacing = 200e9;
|
||||
plotJob.ch = 16;
|
||||
plotJob.randzdw = 1;
|
||||
plotJob.l = 10;
|
||||
|
||||
plotJob.p_in = 3;
|
||||
|
||||
Pol = ["copolarized","alternated","paired","copolarized"];
|
||||
Title = ["Co Polarized","Alternating Pol. Interl.","Paired Pol. Interl.","Link Segmentation",];
|
||||
D = [0,0,0,3];
|
||||
Sgm = [0,0,0,1];
|
||||
Channelspacing = [200e9, 200e9];
|
||||
PlotTypeArg = ["--","-"];
|
||||
colidx = [6,8,2,4];
|
||||
Len = [2,10];
|
||||
|
||||
plotJob.figName = [num2str(plotJob.ch),num2str(plotJob.channelspacing*1e-9),num2str(plotJob.p_in),'...'];
|
||||
plotJob.figName = "10km 400ghz";
|
||||
|
||||
|
||||
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [0 0 18 7];
|
||||
|
||||
for j = 1
|
||||
|
||||
plotJob.channelspacing = Channelspacing(j);
|
||||
plotJob.plotTypeArg = PlotTypeArg(j);
|
||||
|
||||
for idx = 1:4
|
||||
|
||||
plotJob.color = cols(colidx(idx),:);
|
||||
plotJob.pol = Pol(idx);
|
||||
plotJob.d = D(idx);
|
||||
plotJob.sgm = Sgm(idx);
|
||||
plotJob.displayname = [char(plotJob.pol)];
|
||||
hold on
|
||||
plotBerVsZdwFailureRate(wh, plotJob);
|
||||
|
||||
end
|
||||
end
|
||||
legend('Location', 'southoutside', 'Orientation', 'horizontal');
|
||||
|
||||
|
||||
%plot channel positions
|
||||
hold on
|
||||
chpos = calcWavelengthPlan(plotJob.ch, plotJob.channelspacing, 1310);
|
||||
xline(chpos,'LineWidth',2,'Alpha',0.4,'HandleVisibility','off');
|
||||
|
||||
chpos = calcWavelengthPlan(plotJob.ch, plotJob.channelspacing, chpos(4));
|
||||
xline(chpos,'LineWidth',2,'LineStyle','--','Alpha',0.1,'HandleVisibility','off');
|
||||
|
||||
title(['N=',num2str(plotJob.ch),' $\Delta f_{\mathrm{ch}}$= ',num2str(plotJob.channelspacing*1e-9),' GHz'],'FontSize',10,'Interpreter','latex');
|
||||
|
||||
|
||||
|
||||
|
||||
end
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,83 @@
|
||||
%automate plots
|
||||
[file, path] = uigetfile("C:\Users\Silas\Documents\MATLAB\Datensätze\Raw_Cluster_Simulations\");
|
||||
wh = load([path filesep file]);
|
||||
wh = wh.wh;
|
||||
|
||||
plotJob = struct();
|
||||
width = 350;
|
||||
height = 200;
|
||||
plotJob.Position = [100 100 width 100+height];
|
||||
cols = cbrewer2("paired",12);
|
||||
plotJob.color = cols(1,:);
|
||||
plotJob.l = 1;
|
||||
plotJob.ch = 1;
|
||||
|
||||
plotJob.sgm = 1;
|
||||
plotJob.pol = "copolarized";
|
||||
plotJob.p_in = 3;
|
||||
plotJob.gamma = 0.0023;
|
||||
plotJob.pmd = 0.1;
|
||||
plotJob.channelspacing = 400e9;
|
||||
plotJob.randzdw = 0;
|
||||
|
||||
|
||||
plotJob.plot_ber_curve = 1;
|
||||
plotJob.plot_3dber_curve = 0;
|
||||
plotJob.plot_violin = 0;
|
||||
plotJob.plot_wavelength_sweep = 0;
|
||||
plotJob.plot_wavelength_sweep_failure_rate = 0;
|
||||
|
||||
|
||||
plotJob.dataStatArg = 'Lineplot with quartiles';
|
||||
plotJob.plotTypeArg = 'Lines';
|
||||
plotJob.displayname = 'a';
|
||||
plotJob.title = 'title';
|
||||
plotJob.figName = '1 Chann__';
|
||||
plotJob.xAxisLabel = 'ROP per Channel in dBm';
|
||||
plotJob.yAxisLabel = 'BER';
|
||||
|
||||
|
||||
plotJob.d = 0;
|
||||
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
D = wh.parameter.dispersion.values;
|
||||
|
||||
figure()
|
||||
ber_ = [];
|
||||
for d_ = 0:39
|
||||
if d_ == 0
|
||||
plotJob.sgm = 0;
|
||||
ber_(d_+1,:) = wh.getStoValue('ber',plotJob.l,d_,plotJob.sgm,string(plotJob.pol),plotJob.p_in,xAxis,plotJob.pmd,plotJob.gamma,1,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw)';
|
||||
else
|
||||
plotJob.sgm = 1;
|
||||
ber_(d_+1,:) = wh.getStoValue('ber',plotJob.l,d_,plotJob.sgm,string(plotJob.pol),plotJob.p_in,xAxis,plotJob.pmd,plotJob.gamma,1,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw)';
|
||||
end
|
||||
hold on
|
||||
plot(xAxis,ber_(d_+1,:))
|
||||
set(gca,'yscale','log');
|
||||
end
|
||||
yline(3.8e-3);
|
||||
|
||||
|
||||
hdfec = 3.8e-3.*ones(size(xAxis));
|
||||
for i = 1:size(ber_,1)
|
||||
ber_series = ber_(i,:);
|
||||
a = InterX([hdfec(:)';xAxis],[ber_series;xAxis]);
|
||||
cross(i) = a(2);
|
||||
end
|
||||
|
||||
col = cbrewer2('Paired',8);
|
||||
figure()
|
||||
plot(D,cross,'Marker','o','MarkerSize',5,'MarkerEdgeColor',[1,1,1],'MarkerFaceColor',col(2,:),'Color',col(1,:),'LineWidth',1);
|
||||
grid minor
|
||||
xlabel('Accumulated Dispersion')
|
||||
ylabel('Required ROP to reach FEC limit in dB')
|
||||
line([D(16),D(16)],[-10,cross(16)],'linestyle','--')
|
||||
line([0,D(16)],[cross(16),cross(16)],'linestyle','--')
|
||||
|
||||
line([D(29),D(29)],[-10,cross(29)],'linestyle','--')
|
||||
line([0,D(29)],[cross(29),cross(29)],'linestyle','--')
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,52 @@
|
||||
|
||||
wh = load("C:\Users\Silas\Documents\MATLAB\Datensätze\Raw_Cluster_Simulations\session_dispersion_validation\wh_with_variation.mat");
|
||||
wh = wh.wh;
|
||||
|
||||
lambda = 1295;
|
||||
|
||||
figure(3)
|
||||
plot(xAxis,getber(wh,lambda),'DisplayName',['w:', num2str(lambda), 'variation']);
|
||||
yline(3.8e-3,'HandleVisibility','off');
|
||||
legend
|
||||
set(gca,'yscale','log');
|
||||
grid(gca,'on');
|
||||
grid(gca,'minor');
|
||||
grid minor
|
||||
fontsize(gca,8,"points")
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [2 2 8.5 7];
|
||||
set(gca,'TickLabelInterpreter','latex')
|
||||
ylim([1e-5,0.5]);
|
||||
xlim([min(xAxis),-3]);
|
||||
|
||||
wh = load("C:\Users\Silas\Documents\MATLAB\Datensätze\Raw_Cluster_Simulations\session_dispersion_validation\wh_no_variation.mat");
|
||||
wh = wh.wh;
|
||||
|
||||
|
||||
figure(3)
|
||||
hold on
|
||||
plot(xAxis,getber(wh,lambda),'DisplayName',['w:', num2str(lambda), 'no variation']);
|
||||
yline(3.8e-3,'HandleVisibility','off');
|
||||
legend
|
||||
set(gca,'yscale','log');
|
||||
grid(gca,'on');
|
||||
grid(gca,'minor');
|
||||
grid minor
|
||||
fontsize(gca,8,"points")
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [2 2 8.5 7];
|
||||
set(gca,'TickLabelInterpreter','latex')
|
||||
ylim([1e-5,0.5]);
|
||||
xlim([min(xAxis),-3]);
|
||||
|
||||
|
||||
function ber = getber(wh,lambda)
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
ber = [];
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
temp = wh.getStoValue('ber',10,0,0,"copolarized",3,p_out,0.1,0.0023,realization,1,lambda,400e9,1);
|
||||
ber(xl) = mean(temp,'all');
|
||||
end
|
||||
end
|
||||
61
Classes/Warehouse_class/functions/fwm_plots/generatePlots.m
Normal file
61
Classes/Warehouse_class/functions/fwm_plots/generatePlots.m
Normal file
@@ -0,0 +1,61 @@
|
||||
function generatePlots(wh,plotJob)
|
||||
|
||||
% 0) Test for valid query:
|
||||
p_out = wh.parameter.p_out.values(1);
|
||||
realization = 9;
|
||||
|
||||
|
||||
if 1 %~isempty(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310))
|
||||
% test violin
|
||||
|
||||
baseName = plotJob.figName;
|
||||
|
||||
width = 350;
|
||||
height = 200;
|
||||
s = 100;
|
||||
e = 100;
|
||||
|
||||
if plotJob.plot_ber_curve
|
||||
plotJob.Position = [100 100 width e+height];
|
||||
plotJob.figName = [baseName, ' zdwvsber'];
|
||||
plotCurve(wh, plotJob);
|
||||
end
|
||||
|
||||
if plotJob.plot_3dber_curve
|
||||
plotJob.Position = [100 100 width e+height];
|
||||
plotJob.figName = [baseName, ' zdwvsber'];
|
||||
plot3dCurve(wh, plotJob);
|
||||
end
|
||||
|
||||
if plotJob.plot_wavelength_sweep
|
||||
plotJob.Position = [100 100 width e+height];
|
||||
plotJob.figName = [baseName, ' zdwvsber'];
|
||||
plotBerVsZDW(wh, plotJob);
|
||||
end
|
||||
|
||||
if plotJob.plot_wavelength_sweep_failure_rate
|
||||
plotJob.Position = [100 100 width e+height];
|
||||
plotJob.figName = [baseName, ' zdwvsber'];
|
||||
plotBerVsZdwFailureRate(wh, plotJob);
|
||||
end
|
||||
|
||||
if plotJob.plot_violin
|
||||
plotJob.Position = [s+width 100 width e+height];
|
||||
plotJob.figName = [baseName, ' violin'];
|
||||
plotViolin(wh, plotJob);
|
||||
end
|
||||
|
||||
|
||||
if 0
|
||||
%2) plotHistogram
|
||||
plotJob.Position = [s+2*width 100 width e+height];
|
||||
plotJob.figName = [baseName, ' FEC crossing'];
|
||||
plotHistogram(wh,plotJob)
|
||||
end
|
||||
|
||||
|
||||
else
|
||||
warndlg('The requested Datapoint is not available... This can occur for some edgecase constellations... ')
|
||||
end
|
||||
|
||||
end
|
||||
248
Classes/Warehouse_class/functions/fwm_plots/plot3dCurve.m
Normal file
248
Classes/Warehouse_class/functions/fwm_plots/plot3dCurve.m
Normal file
@@ -0,0 +1,248 @@
|
||||
function plotCurve(wh,plotJob)
|
||||
%PLOTCURVE Summary of this function goes here
|
||||
% Detailed explanation goes here
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
col = plotJob.color;
|
||||
|
||||
% we want to fetch all realizations
|
||||
if plotJob.pmd == 0
|
||||
realization = 499;
|
||||
% realization = 0:7;
|
||||
else
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
end
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
% Fetch Data from Warehouse
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
if string(plotJob.dataStatArg) == "Worst"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = max(temp,[],'all');
|
||||
linew = 1.0;
|
||||
markersz = 3;
|
||||
linestyle = '-';
|
||||
elseif string(plotJob.dataStatArg) == "AVG"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = mean(temp,'all');
|
||||
linew = 1.0;
|
||||
markersz = 3;
|
||||
linestyle = '-';
|
||||
elseif string(plotJob.dataStatArg) == "Best"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = min(temp,[],'all');
|
||||
linew = 1.0;
|
||||
markersz = 3;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
|
||||
ber(:,xl) = mean(temp,1,"omitnan").';
|
||||
|
||||
linew = 1;
|
||||
markersz = 3;
|
||||
linestyle = '--';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "Lineplot with quartiles"
|
||||
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = mean(temp,"all","omitnan").';
|
||||
|
||||
|
||||
upperq(xl) = quantile(temp,0.9,"all");
|
||||
lowerq(xl) = quantile(temp,0.1,"all");
|
||||
|
||||
if lowerq(xl) == 0
|
||||
lowerq(xl) = lowerq(xl-1);
|
||||
end
|
||||
% upperq(xl) = 0.5*std(tmp,1,'all','omitnan');
|
||||
% lowerq(xl) = 0.5*std(tmp,1,'all','omitnan');
|
||||
|
||||
% upperq(xl) = max(dataNoNans);
|
||||
% lowerq(xl) = min(dataNoNans);
|
||||
|
||||
% upperq(xl) = mean(tmp,"all","omitnan") + 1.96 * (std(tmp,1,'all','omitnan')/sqrt(numel(tmp)));
|
||||
% lowerq(xl) = mean(tmp,"all","omitnan") - 1.96 * (std(tmp,1,'all','omitnan')/sqrt(numel(tmp)));
|
||||
|
||||
linew = 1;
|
||||
markersz = 1;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations"
|
||||
|
||||
tmp = reshape(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw).',[],1);
|
||||
ber(1:size(tmp,1),xl) = tmp;
|
||||
|
||||
linew = 0.3;
|
||||
markersz = 2;
|
||||
linestyle = ':';
|
||||
end
|
||||
end
|
||||
|
||||
xAxis = xAxis;
|
||||
|
||||
% Plot Data
|
||||
if string(plotJob.plotTypeArg) == "Scatter"
|
||||
for rlz = 1:size(ber,1)
|
||||
|
||||
if rlz < size(ber,1)
|
||||
scatter(xAxis,ber(rlz,:),markersz,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'HandleVisibility','off');
|
||||
else
|
||||
scatter(xAxis,ber(rlz,:),markersz,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
elseif string(plotJob.plotTypeArg) == "Lines"
|
||||
|
||||
% if ~anynan(ber)
|
||||
% [xAxis,ber] = interpCurve(xAxis, ber);
|
||||
% end
|
||||
|
||||
for rlz = 1:size(ber,1)
|
||||
%
|
||||
if (string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations")||(string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)")
|
||||
ch = mod(rlz,plotJob.ch);
|
||||
if ch == 0; ch = plotJob.ch; end
|
||||
else
|
||||
ch = plotJob.dataStatArg;
|
||||
end
|
||||
|
||||
if rlz <= size(ber,1)
|
||||
|
||||
|
||||
s = plot3(xAxis,repmat(ch,1,numel(xAxis)),ber(rlz,:),linestyle,'Marker',"o",'MarkerSize',markersz,'MarkerFaceColor',plotJob.color,'LineWidth',linew,'Color',col,'Parent', AxesMain,'HandleVisibility','off');
|
||||
|
||||
s.DataTipTemplate.Interpreter = "latex";
|
||||
s.DataTipTemplate.DataTipRows(1).Label = "Ch: ";
|
||||
s.DataTipTemplate.DataTipRows(1).Value = repmat(ch,size(ber));
|
||||
s.DataTipTemplate.DataTipRows(1);
|
||||
s.DataTipTemplate.DataTipRows(2) = [];
|
||||
|
||||
|
||||
else
|
||||
|
||||
if string(plotJob.dataStatArg) == "Lineplot with quartiles"
|
||||
[hl,hp] = boundedline(xAxis,ber(rlz,:),([(ber(rlz,:)-lowerq(rlz,:));upperq(rlz,:)-ber(rlz,:)]'),'-*', 'alpha','Color',col,'transparency', 0.2);
|
||||
hp.LineWidth = 1.2;
|
||||
|
||||
ho = outlinebounds(hl,hp);
|
||||
set(ho, 'linestyle', ':', 'color', col);
|
||||
else
|
||||
|
||||
s = plot(xAxis,ber(rlz,:),linestyle,'Marker',"o",'MarkerFaceColor',col,'MarkerSize',markersz,'LineWidth',linew,'Color',col,'Parent', AxesMain,'DisplayName',[plotJob.displayname]);
|
||||
|
||||
s.DataTipTemplate.Interpreter = "latex";
|
||||
s.DataTipTemplate.DataTipRows(1).Label = "Ch: ";
|
||||
s.DataTipTemplate.DataTipRows(1).Value = repmat(string(ch),size(ber));
|
||||
s.DataTipTemplate.DataTipRows(1)
|
||||
s.DataTipTemplate.DataTipRows(2) = [];
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
% Draw FEC Threshold Line
|
||||
%get x data of first children:
|
||||
%get all linear Values
|
||||
if 0
|
||||
linear = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,wh.parameter.p_out.values,0,0,499,"symmetric");
|
||||
linear = mean(linear,2);
|
||||
lincurve = findall(AxesMain, 'Type', 'line','DisplayName','Linear Baseline');
|
||||
%
|
||||
if isempty(lincurve)
|
||||
xdata = AxesMain.Children(1).XData;
|
||||
hdfec = 3.8e-3.*ones(size(xdata));
|
||||
plot(xdata,linear,'-','Marker',"o",'MarkerSize',3,'LineWidth',4,'Color',[0.6400 0.6400 0.6400],'MarkerFaceColor',[0.6400 0.6400 0.6400],'Parent', AxesMain,'DisplayName','Linear Baseline');
|
||||
%h = get(gca,'Children');
|
||||
%set(gca,'Children',[h(2) h(1)])
|
||||
end
|
||||
end
|
||||
|
||||
feccurve = findall(AxesMain, 'Type', 'line','DisplayName','FEC $3.8*10^{-3}$');
|
||||
%
|
||||
if isempty(feccurve)
|
||||
xdata = xAxis;
|
||||
hdfec = 3.8e-3.*ones(size(xdata));
|
||||
for ch = 1:plotJob.ch
|
||||
plot3(xdata,repmat(ch,1,numel(xAxis)),hdfec,':','MarkerSize',4,'Color','black','MarkerFaceColor','black','LineWidth',0.5,'Parent', AxesMain,'DisplayName','FEC $3.8*10^{-3}$','HandleVisibility','off');
|
||||
end
|
||||
%h = get(gca,'Children');
|
||||
%set(gca,'Children',[h(2) h(1)])
|
||||
end
|
||||
|
||||
% Figure Settings
|
||||
%title(AxesMain,plotJob.title,"Interpreter","none");
|
||||
|
||||
xlabel(AxesMain,plotJob.xAxisLabel,"Interpreter","none");
|
||||
|
||||
ylabel(AxesMain,plotJob.yAxisLabel,"Interpreter","none");
|
||||
|
||||
set(AxesMain,'zscale','log');
|
||||
|
||||
grid(AxesMain,'on');
|
||||
|
||||
grid(AxesMain,'minor');
|
||||
|
||||
grid minor
|
||||
|
||||
view(AxesMain,[42.0619302949062 23.4176470588235]);
|
||||
%legend(AxesMain);
|
||||
|
||||
fontsize(AxesMain,8,"points")
|
||||
fontname(AxesMain,"Arial")
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [2 2 8.5 7];
|
||||
|
||||
set(AxesMain,'TickLabelInterpreter','none')
|
||||
|
||||
set(AxesMain.Legend,'Interpreter','none')
|
||||
% set(gcf,'Units','centimeters')
|
||||
% set(gcf,'Position',[2 2 9 4.5])
|
||||
|
||||
zlim([1e-4,0.3]);
|
||||
|
||||
xlim([min(xAxis),-3]);
|
||||
|
||||
|
||||
annotation('textbox', [0.125, 0.32, 0.1, 0.1], 'String', "FEC 3.8e-3","LineStyle","none","FontSize",8,"FontUnits","points")
|
||||
|
||||
|
||||
hold off
|
||||
|
||||
|
||||
end
|
||||
|
||||
|
||||
function vec = removeZeros(vec)
|
||||
% Find rows that contain only zeros
|
||||
rows_to_remove = all(vec == 0, 2);
|
||||
|
||||
% Remove rows with only zeros
|
||||
vec(rows_to_remove, :) = [];
|
||||
end
|
||||
300
Classes/Warehouse_class/functions/fwm_plots/plotBerVsZDW.m
Normal file
300
Classes/Warehouse_class/functions/fwm_plots/plotBerVsZDW.m
Normal file
@@ -0,0 +1,300 @@
|
||||
function plotBerVsZDW(wh,plotJob)
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
|
||||
col = plotJob.color;
|
||||
|
||||
% we want to fetch all realizations
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
% get all center wavelengths
|
||||
wavelengths = wh.parameter.center_wavelength.values;
|
||||
|
||||
% totber = NaN(numel(realization),1,numel(xAxis),numel(wavelengths));
|
||||
% ber = zeros(numel(realization),plotJob.ch,numel(xAxis),numel(wavelengths));
|
||||
|
||||
%get BER values for query
|
||||
for w = 2:numel(wavelengths)
|
||||
|
||||
for xl = 1:numel(xAxis)
|
||||
|
||||
c_wavelen = wavelengths(w);
|
||||
p_out = xAxis(xl);
|
||||
|
||||
% dim1 : realiz; dim2: channels, dim3: rop, dim4, c_wavelength
|
||||
temp = removeZeros(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,c_wavelen,plotJob.channelspacing,plotJob.randzdw));
|
||||
ber(1:size(temp,1),:,xl,w) = temp;
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
hdfec = 3.8e-3.*ones(size(xAxis));
|
||||
zdw_ = [];
|
||||
zdw_chann = [];
|
||||
zdw_tot = [];
|
||||
cf_tot = [];
|
||||
cf_ = [];
|
||||
S = [];
|
||||
Stot = [];
|
||||
S_chann = [];
|
||||
cf_chann = [];
|
||||
|
||||
cnt = 0;
|
||||
%get fec thresholds
|
||||
%linear = squeeze(linear);
|
||||
for c_wavelen = 1:size(ber,4)
|
||||
for realiz = 1:size(ber,1)
|
||||
for chann = 1:size(ber,2)
|
||||
|
||||
%finde Schnittpunkt zwischen FEC und BER Kurve
|
||||
temp_ber = squeeze(ber(realiz,chann,:,c_wavelen)).';
|
||||
if ~all(temp_ber == 0)
|
||||
%nur wenn nicht alles nullen sind
|
||||
crossing_ch = InterX([hdfec;xAxis],[temp_ber;xAxis]);
|
||||
else
|
||||
continue
|
||||
end
|
||||
|
||||
%Req. FEC Ergebnis einsortieren
|
||||
if ~isempty(crossing_ch)
|
||||
if crossing_ch(2) == 0
|
||||
print("d")
|
||||
end
|
||||
S(realiz,chann,c_wavelen) = crossing_ch(2);
|
||||
else
|
||||
S(realiz,chann,c_wavelen) = -1;
|
||||
cnt = cnt +1;
|
||||
end
|
||||
|
||||
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
temp_max = -inf;
|
||||
for i = 1:plotJob.ch
|
||||
hold on
|
||||
%S:: 1.dim: realiz; 2.dim: channel; 3.dim: center wavelength
|
||||
%squeeze a channel:
|
||||
temp_data = squeeze(S(:,i,:));
|
||||
|
||||
%remove realizations that have no entry (only zero)
|
||||
temp_data = removeZeros(temp_data);
|
||||
|
||||
%replace zeros with NAN (e.g. for the wavelengths that have missing realizations)
|
||||
temp_data(temp_data==0) = NaN;
|
||||
|
||||
%plot required ROP for channel and all realizations that cross the
|
||||
%FEC limit
|
||||
scatter(wavelengths,temp_data ,5,plotJob.color,'Marker','.');
|
||||
|
||||
% %plot mean per channel
|
||||
% temp_mean = mean(temp_data,'omitnan');
|
||||
% hold on
|
||||
% plot(wavelengths,temp_mean,'Marker','*');
|
||||
|
||||
%get max overall value
|
||||
temp_max = max(temp_max,max(temp_data));
|
||||
end
|
||||
|
||||
|
||||
|
||||
%plot mean overall
|
||||
mean_overall = squeeze(mean(S,2));
|
||||
mean_overall(mean_overall==0) = NaN;
|
||||
%mean_overall(mean_overall==-1) = NaN;
|
||||
mean_overall=mean(mean_overall,1,'omitnan');
|
||||
plot(wavelengths,mean_overall,'Color',plotJob.color);
|
||||
|
||||
%plot max overall
|
||||
scatter(wavelengths,temp_max ,35,plotJob.color,'Marker','v');
|
||||
|
||||
|
||||
%plot channel positions
|
||||
hold on
|
||||
chpos = calcWavelengthPlan(plotJob.ch, 400e9, 1310);
|
||||
xline(chpos,'LineWidth',2,'Alpha',0.2);
|
||||
chpos = calcWavelengthPlan(plotJob.ch, 400e9, chpos(4));
|
||||
xline(chpos,'LineWidth',2,'Alpha',0.2);
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
|
||||
ylabel('Penalty in dB');
|
||||
xlabel('Wavelength in nm');
|
||||
|
||||
xlim([min(wavelengths),max(wavelengths) ]);
|
||||
|
||||
grid minor;
|
||||
set(gca, 'color', 'none');
|
||||
legend = [];
|
||||
|
||||
fontsize(AxesMain,8,"points")
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [2 2 8.5 7];
|
||||
|
||||
set(AxesMain,'TickLabelInterpreter','latex')
|
||||
|
||||
set(AxesMain.Legend,'Interpreter','latex')
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
%
|
||||
%
|
||||
%
|
||||
%
|
||||
%
|
||||
% distinct_cf = unique(cf_chann);
|
||||
%
|
||||
% for i = 1:length(distinct_cf)
|
||||
% indices = find(cf_chann==distinct_cf(i));
|
||||
% cf(i) = distinct_cf(i);
|
||||
% worst_fec_cross(i) = max(S_chann(indices));
|
||||
% avg_fec_cross(i) = mean(S_chann(indices));
|
||||
% end
|
||||
%
|
||||
% avg_fec_cross = smooth(avg_fec_cross,5);
|
||||
%
|
||||
% figure(224)
|
||||
% hold on
|
||||
% scatter(cf_,S,10.*abs(S-mean(S)).*ones(size(S)),'DisplayName',['AVG'],'MarkerEdgeColor',col,'MarkerFaceColor',col,'Marker','.');
|
||||
% hold on
|
||||
% scatter(cf(2:end),worst_fec_cross(2:end),15,'DisplayName',['Worst'],'MarkerEdgeColor',col,'MarkerFaceColor',col,'Marker','.','HandleVisibility','off');
|
||||
% plot(cf(2:end),avg_fec_cross(2:end),'DisplayName',['AVG'],'LineWidth',1,'LineStyle','-','Color',col,'Marker','none','MarkerFaceColor',col,'MarkerSize',2);
|
||||
% plot(cf(2:end),worst_fec_cross(2:end),'DisplayName',['AVG'],'LineWidth',0.5,'LineStyle','-','Color',col,'Marker','none','MarkerFaceColor',col,'MarkerSize',2);
|
||||
% ghzgrid = hz2nm(nm2hz(1310)+[0:1:20].*400e9);
|
||||
% set(gca,'xtick',sort(ghzgrid))
|
||||
% xlim([min(cf(cf~=0)), 1310.1]);
|
||||
%
|
||||
%
|
||||
% % With matlab internal errorbar function...
|
||||
% figure(221)
|
||||
% %plot(cf,avg_fec_cross,'DisplayName',['AVG'],'LineWidth',1,'Color',col,'Marker','none','MarkerFaceColor',col,'MarkerSize',2);
|
||||
% hold on
|
||||
% %plot(cf_tot,min(S_chann(1:length(cf_tot),:),[],2),'DisplayName',['AVG'],'LineWidth',1,'LineStyle',':','Color',col,'Marker','^','MarkerFaceColor',col,'MarkerSize',2);
|
||||
% plot(cf,worst_fec_cross,'DisplayName',['AVG'],'LineWidth',2,'LineStyle','-','Color',col,'Marker','none','MarkerFaceColor',col,'MarkerSize',2);
|
||||
% ghzgrid = hz2nm(nm2hz(1310)+[0:1:20].*400e9);
|
||||
% set(gca,'xtick',sort(ghzgrid))
|
||||
% xlim([1302, 1310.1]);
|
||||
% xline(ghzgrid,'LineStyle',':','Color',[.7 .7 .7]);
|
||||
|
||||
|
||||
%with
|
||||
% Stot = movmean(Stot,5);
|
||||
% figure(222)
|
||||
% [hl,hp] = boundedline(cf_tot,Stot,[(Stot'-min(S_chann(1:length(cf_tot),:),[],2)),(max(S_chann(1:length(cf_tot),:),[],2)-Stot')], 'alpha','Color',col,'transparency', 0.05);
|
||||
% ho = outlinebounds(hl,hp);
|
||||
% set(ho, 'linestyle', ':', 'color', col, 'marker', '.','linewidth',0.5);
|
||||
% hold on
|
||||
%
|
||||
% ghzgrid = hz2nm(nm2hz(1310)+[0:1:12].*400e9);
|
||||
% xline(ghzgrid);
|
||||
|
||||
|
||||
|
||||
|
||||
%plot the total ber
|
||||
|
||||
% %figure(22);
|
||||
% hold on;
|
||||
% b= movmean(Stot,3);
|
||||
% plot(AxesMain,cf_tot,b,'LineWidth',2,'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname],'Color',col,'Marker','o');
|
||||
% hold on
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
%scatter(AxesMain,zdw_,S,'Marker','+','MarkerEdgeColor',col,'MarkerFaceAlpha',0.4,'MarkerEdgeAlpha',0.4,'LineWidth',0.5,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
%ylim(AxesMain,[-9.3 -7]);
|
||||
|
||||
% for i = 1:numel(chp)
|
||||
% hold on
|
||||
% xline(AxesMain,chp(i),'Color',colr(i,:),'DisplayName',['CH: ', num2str(i)],'LineWidth',1.5);
|
||||
% hold off
|
||||
% end
|
||||
|
||||
|
||||
|
||||
|
||||
%
|
||||
% a = movmean(sortrows([zdw_; S]'),10,'Endpoints','discard');
|
||||
%
|
||||
% sorted = sortrows([zdw_; S]');
|
||||
% figure(2)
|
||||
% scatter(sorted(:,1),sorted(:,2))
|
||||
%
|
||||
% ber_sorted = sort(S);
|
||||
% mean(ber_sorted);
|
||||
% std(ber_sorted);
|
||||
% z1 = [];
|
||||
% penalty = mean(ber_sorted):0.01:mean(ber_sorted)+2;
|
||||
% for i = 1:length(penalty)
|
||||
% l = penalty(i);
|
||||
% if i == 1
|
||||
% z1 = [z1 sum(ber_sorted(1,:)<l ) / length(ber_sorted) ];
|
||||
% else
|
||||
% z1 = [z1 sum(ber_sorted(1,:)<l & ber_sorted(1,:)>l-0.01) / length(ber_sorted) ];
|
||||
% end
|
||||
%
|
||||
% end
|
||||
%
|
||||
% penalty_higherthan = 0.5;
|
||||
% probability = sum(z1(find(penalty>mean(ber_sorted)+penalty_higherthan)));
|
||||
% disp(['A penalty of more than 1dB has a probability of: ', num2str(probability)]);
|
||||
% %
|
||||
% stem(AxesMain,penalty,z1,"filled",'Marker','o','MarkerSize',2,'Color',col);
|
||||
%
|
||||
%
|
||||
% [f1,x1]=ecdf(S(end,:));
|
||||
% %figure(23);plot(AxesMain,x1,f1,'r','LineWidth',3, 'Color',col);
|
||||
%
|
||||
% %plot(AxesMain,a(:,1),a(:,2),'Color',col+1,'Parent', AxesMain(1));
|
||||
%
|
||||
% % histogram(AxesMain,S,1000,'EdgeColor','none','FaceAlpha',0.4);
|
||||
%
|
||||
%
|
||||
%
|
||||
% %
|
||||
% %scatter(AxesMain,zdw_,S,'Marker','+','MarkerEdgeColor',col,'MarkerFaceAlpha',0.4,'MarkerEdgeAlpha',0.4,'LineWidth',0.5,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
% hold on
|
||||
% %scatter(AxesMain,zdw_chann(:,1),mean(S_chann,2),'Marker','diamond','MarkerEdgeColor',col,'MarkerFaceAlpha',0.6,'LineWidth',7,'MarkerFaceColor',col,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
% hold off
|
||||
% %
|
||||
% % for rlz = 1:size(S,2)
|
||||
% % zdwval = zdw_(rlz);
|
||||
% % feccrossing = S(rlz);
|
||||
% % scatter(AxesMain,zdwval,feccrossing,10,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
% % end
|
||||
%
|
||||
% xline([1302.03471732576,1304.30061112288,1306.57440520904,1308.85614097425,1311.14586009814,1313.44360455251,1315.74941660391,1318.06333881618]);
|
||||
|
||||
|
||||
end
|
||||
|
||||
function vec = removeZeros(vec)
|
||||
% Find rows that contain only zeros
|
||||
rows_to_remove = all(vec == 0, 2);
|
||||
|
||||
% Remove rows with only zeros
|
||||
vec(rows_to_remove, :) = [];
|
||||
end
|
||||
@@ -0,0 +1,157 @@
|
||||
function plotBerVsZdwFailureRate(wh,plotJob)
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
|
||||
col = plotJob.color;
|
||||
|
||||
% we want to fetch all realizations
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
% get all center wavelengths
|
||||
wavelengths = wh.parameter.center_wavelength.values;
|
||||
%wavelengths = wavelengths(2:end);
|
||||
% totber = NaN(numel(realization),1,numel(xAxis),numel(wavelengths));
|
||||
% ber = zeros(numel(realization),plotJob.ch,numel(xAxis),numel(wavelengths));
|
||||
|
||||
%get BER values for query
|
||||
for w = 1:numel(wavelengths)
|
||||
|
||||
for xl = 1:numel(xAxis)
|
||||
|
||||
c_wavelen = wavelengths(w);
|
||||
p_out = xAxis(xl);
|
||||
|
||||
% dim1 : realiz; dim2: channels, dim3: rop, dim4, c_wavelength
|
||||
temp = removeZeros(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,c_wavelen,plotJob.channelspacing,plotJob.randzdw));
|
||||
ber(1:size(temp,1),:,xl,w) = temp;
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
hdfec = 3.8e-3.*ones(size(xAxis));
|
||||
zdw_ = [];
|
||||
zdw_chann = [];
|
||||
zdw_tot = [];
|
||||
cf_tot = [];
|
||||
cf_ = [];
|
||||
S = [];
|
||||
Stot = [];
|
||||
S_chann = [];
|
||||
cf_chann = [];
|
||||
|
||||
cnt = 0;
|
||||
%get fec thresholds
|
||||
%linear = squeeze(linear);
|
||||
for c_wavelen = 1:size(ber,4)
|
||||
for realiz = 1:size(ber,1)
|
||||
for chann = 1:size(ber,2)
|
||||
|
||||
%finde Schnittpunkt zwischen FEC und BER Kurve
|
||||
temp_ber = squeeze(ber(realiz,chann,:,c_wavelen)).';
|
||||
if ~all(temp_ber == 0)
|
||||
%nur wenn nicht alles nullen sind
|
||||
crossing_ch = InterX([hdfec;xAxis],[temp_ber;xAxis]);
|
||||
else
|
||||
continue
|
||||
end
|
||||
|
||||
%Req. FEC Ergebnis einsortieren
|
||||
if ~isempty(crossing_ch)
|
||||
if crossing_ch(2) == 0
|
||||
print("d")
|
||||
end
|
||||
S(realiz,chann,c_wavelen) = crossing_ch(2);
|
||||
else
|
||||
S(realiz,chann,c_wavelen) = -1;
|
||||
cnt = cnt +1;
|
||||
end
|
||||
|
||||
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
temp_max = -inf;
|
||||
sum_FEC_not_crossed=[];
|
||||
sum_FEC_crossed=[];
|
||||
|
||||
threshold = plotJob.p_in - 10;
|
||||
|
||||
for i = 1:plotJob.ch
|
||||
hold on
|
||||
%S:: 1.dim: realiz; 2.dim: channel; 3.dim: center wavelength
|
||||
%squeeze a channel:
|
||||
temp_data = squeeze(S(:,i,:));
|
||||
|
||||
%remove realizations that have no entry (only zero)
|
||||
temp_data = removeZeros(temp_data);
|
||||
|
||||
%replace zeros with NAN (e.g. for the wavelengths that have missing realizations)
|
||||
temp_data(temp_data==0) = NaN;
|
||||
|
||||
%for current channel
|
||||
FEC_crossed = temp_data < threshold & ~isnan(temp_data);
|
||||
FEC_not_crossed = temp_data >= threshold & ~isnan(temp_data);
|
||||
|
||||
%sum over channels for overall picture
|
||||
sum_FEC_not_crossed(i,:) = sum(FEC_not_crossed);
|
||||
sum_FEC_crossed(i,:) = sum(FEC_crossed);
|
||||
|
||||
failure_rate_channelwise(i,:) = sum_FEC_not_crossed(i,:)./ ( sum_FEC_crossed(i,:) + sum_FEC_not_crossed(i,:));
|
||||
|
||||
end
|
||||
|
||||
failure_rate_total = sum(sum_FEC_not_crossed,1) ./ ( sum(sum_FEC_crossed,1) + sum(sum_FEC_not_crossed,1) );
|
||||
% plot failure rate (nbetween 0 and 1)
|
||||
|
||||
plot(wavelengths,failure_rate_total,'Color',plotJob.color,'LineWidth',1,'LineStyle',plotJob.plotTypeArg,'Marker','x','MarkerSize',5,'MarkerFaceColor',plotJob.color,'DisplayName',plotJob.displayname);
|
||||
|
||||
%plot max overall
|
||||
%scatter(wavelengths,failure_rate_channelwise ,35,plotJob.color,'Marker','.');
|
||||
|
||||
ylabel('Failure Rate of Link');
|
||||
xlabel('Wavelength in nm');
|
||||
|
||||
xlim([min(wavelengths),max(wavelengths) ]);
|
||||
ylim([0,1]);
|
||||
|
||||
grid minor;
|
||||
set(gca, 'color', 'none');
|
||||
legend = [];
|
||||
|
||||
% fontsize(AxesMain,8,"points")
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [0 0 12 5 7];
|
||||
|
||||
try
|
||||
set(AxesMain,'TickLabelInterpreter','latex')
|
||||
|
||||
set(AxesMain.Legend,'Interpreter','latex')
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
function vec = removeZeros(vec)
|
||||
% Find rows that contain only zeros
|
||||
rows_to_remove = all(vec == 0, 2);
|
||||
|
||||
% Remove rows with only zeros
|
||||
vec(rows_to_remove, :) = [];
|
||||
end
|
||||
@@ -0,0 +1,51 @@
|
||||
function plotChannelSpacingAna(wh,plotJob)
|
||||
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
|
||||
channelsp = wh.parameter.channelspacing.values(1:end);
|
||||
channelsp = [200 400].*1e9;
|
||||
for ch = 1:2
|
||||
channspacing = channelsp(ch);
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
|
||||
curber = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.numchannels,channspacing);
|
||||
curzdw = wh.getStoValue('zdw',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.numchannels,channspacing);
|
||||
|
||||
ber(1:size(curber,1),1:size(curber,2),xl) = curber;
|
||||
zdw(1:size(curber,1),1,xl) = curzdw;
|
||||
|
||||
end
|
||||
|
||||
ber = squeeze(mean(ber,1));
|
||||
zdw = squeeze(mean(zdw,1));
|
||||
|
||||
hdfec = 3.8e-3.*ones(size(xAxis));
|
||||
S = [];
|
||||
wavelength={};
|
||||
|
||||
zdw_ = [];
|
||||
zdw_chann = [];
|
||||
zdw_tot = [];
|
||||
S = [];
|
||||
S_chann = [];
|
||||
wl = round([1302.03471732576,1304.30061112288,1306.57440520904,1308.85614097425,1311.14586009814,1313.44360455251,1315.74941660391,1318.06333881618],2);
|
||||
wl = 1:16;
|
||||
wl = [1.2930 1.2953 1.2975 1.2998 1.3020 1.3043 1.3066 1.3089 1.3111 1.3134 1.3157 1.3181 1.3204 1.3227 1.3251 1.3274];
|
||||
|
||||
|
||||
a = InterX([hdfec(:)';xAxis],[mean(ber,1);xAxis]);
|
||||
if ~isempty(a)
|
||||
s(ch) = a(2);
|
||||
else
|
||||
s(ch) = NaN;
|
||||
end
|
||||
end
|
||||
|
||||
figure(2224)
|
||||
hold on
|
||||
plot(channelsp,s,'LineWidth',1,'Color',plotJob.color,'Marker','o');
|
||||
|
||||
278
Classes/Warehouse_class/functions/fwm_plots/plotCurve.m
Normal file
278
Classes/Warehouse_class/functions/fwm_plots/plotCurve.m
Normal file
@@ -0,0 +1,278 @@
|
||||
function plotCurve(wh,plotJob)
|
||||
%PLOTCURVE Summary of this function goes here
|
||||
% Detailed explanation goes here
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
col = plotJob.color;
|
||||
|
||||
% we want to fetch all realizations
|
||||
if plotJob.pmd == 0
|
||||
realization = 499;
|
||||
% realization = 0:7;
|
||||
else
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
end
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
% Fetch Data from Warehouse
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
if string(plotJob.dataStatArg) == "Worst"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = max(temp,[],'all');
|
||||
linew = 1.0;
|
||||
markersz = 3;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "AVG"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = mean(temp,'all');
|
||||
linew = 1.0;
|
||||
markersz = 3;
|
||||
linestyle = '--';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "Best"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = min(temp,[],'all');
|
||||
linew = 1.0;
|
||||
markersz = 3;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)"
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
|
||||
ber(:,xl) = mean(temp,1,"omitnan").';
|
||||
|
||||
linew = 1;
|
||||
markersz = 1;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "Lineplot with quartiles"
|
||||
|
||||
temp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
temp = removeZeros(temp);
|
||||
ber(xl) = mean(temp,"all","omitnan").';
|
||||
|
||||
|
||||
upperq(xl) = quantile(temp,0.99,"all");
|
||||
lowerq(xl) = quantile(temp,0.04,"all");
|
||||
|
||||
if lowerq(xl) == 0
|
||||
lowerq(xl) = lowerq(xl-1);
|
||||
end
|
||||
% upperq(xl) = 0.5*std(tmp,1,'all','omitnan');
|
||||
% lowerq(xl) = 0.5*std(tmp,1,'all','omitnan');
|
||||
|
||||
% upperq(xl) = max(dataNoNans);
|
||||
% lowerq(xl) = min(dataNoNans);
|
||||
|
||||
% upperq(xl) = mean(tmp,"all","omitnan") + 1.96 * (std(tmp,1,'all','omitnan')/sqrt(numel(tmp)));
|
||||
% lowerq(xl) = mean(tmp,"all","omitnan") - 1.96 * (std(tmp,1,'all','omitnan')/sqrt(numel(tmp)));
|
||||
|
||||
linew = 1;
|
||||
markersz = 1;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations"
|
||||
|
||||
raw_fetch = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw).';
|
||||
tmp = reshape(raw_fetch,[],1);
|
||||
ber(1:size(tmp,1),xl) = tmp;
|
||||
|
||||
ber_per_chann(:,:,xl) = raw_fetch;
|
||||
|
||||
linew = 0.3;
|
||||
markersz = 2;
|
||||
linestyle = ':';
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
%routine to remove total outliers (here those wehere the rop curve has a mean BER greater than 0.1)
|
||||
% ber_per_chann_clean = NaN(size(ber_per_chann));
|
||||
% for ch = 1:size(ber_per_chann,1)
|
||||
% bla = squeeze(ber_per_chann(ch,:,:));
|
||||
% ber_per_chann(ch,find(mean(bla,2)>0.25),:) = NaN;
|
||||
% cleaned = rmoutliers(bla,"mean",'ThresholdFactor',2);
|
||||
%
|
||||
% ber_per_chann_clean(ch,1:size(cleaned,1),1:size(cleaned,2)) = cleaned;
|
||||
%
|
||||
% end
|
||||
%
|
||||
% ber = [];
|
||||
% for rop = 1:size(ber_per_chann,3)
|
||||
% temp = squeeze(ber_per_chann_clean(:,:,rop));
|
||||
% ber(rop) = mean(temp,"all","omitnan").';
|
||||
% upperq(rop) = quantile(temp,0.9,"all");
|
||||
% lowerq(rop) = quantile(temp,0.1,"all");
|
||||
% end
|
||||
|
||||
|
||||
|
||||
|
||||
xAxis = xAxis;
|
||||
|
||||
% Plot Data
|
||||
if string(plotJob.plotTypeArg) == "Scatter"
|
||||
for rlz = 1:size(ber,1)
|
||||
|
||||
if rlz < size(ber,1)
|
||||
scatter(xAxis,ber(rlz,:),markersz,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'HandleVisibility','off');
|
||||
else
|
||||
scatter(xAxis,ber(rlz,:),markersz,'MarkerEdgeColor',col,'MarkerFaceColor',col,'Parent', AxesMain(1),'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
elseif string(plotJob.plotTypeArg) == "Lines"
|
||||
|
||||
% if ~anynan(ber)
|
||||
% [xAxis,ber] = interpCurve(xAxis, ber);
|
||||
% end
|
||||
|
||||
for rlz = 1:size(ber,1)
|
||||
%
|
||||
if (string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations")||(string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)")
|
||||
ch = mod(rlz,plotJob.ch);
|
||||
if ch == 0; ch = plotJob.ch; end
|
||||
else
|
||||
ch = plotJob.dataStatArg;
|
||||
end
|
||||
|
||||
if rlz < size(ber,1)
|
||||
|
||||
|
||||
s = plot(xAxis,ber(rlz,:),linestyle,'Marker',"none",'MarkerSize',markersz,'LineWidth',linew,'Color',col,'Parent', AxesMain,'HandleVisibility','off');
|
||||
|
||||
s.DataTipTemplate.Interpreter = "latex";
|
||||
s.DataTipTemplate.DataTipRows(1).Label = "Ch: ";
|
||||
s.DataTipTemplate.DataTipRows(1).Value = repmat(ch,size(ber));
|
||||
s.DataTipTemplate.DataTipRows(1);
|
||||
s.DataTipTemplate.DataTipRows(2) = [];
|
||||
|
||||
|
||||
else
|
||||
|
||||
if string(plotJob.dataStatArg) == "Lineplot with quartiles"
|
||||
[hl,hp] = boundedline(xAxis,ber(rlz,:),([(ber(rlz,:)-lowerq(rlz,:));upperq(rlz,:)-ber(rlz,:)]'),'-o','alpha','Color',col,'transparency', 0.1,'linewidth',0.7);
|
||||
hl.MarkerFaceColor = col;
|
||||
hl.MarkerSize = 3;
|
||||
set(hp,'HandleVisibility','off');
|
||||
%hp.LineWidth = 1.2;
|
||||
|
||||
ho = outlinebounds(hl,hp);
|
||||
set(ho, 'linestyle', ':', 'color', col,'Linewidth',0.5);
|
||||
set(ho,'HandleVisibility','off');
|
||||
else
|
||||
|
||||
s = plot(xAxis,ber(rlz,:),linestyle,'Marker',"o",'MarkerFaceColor',col,'MarkerSize',markersz,'LineWidth',linew,'Color',col,'Parent', AxesMain,'DisplayName',[plotJob.displayname]);
|
||||
|
||||
s.DataTipTemplate.Interpreter = "latex";
|
||||
s.DataTipTemplate.DataTipRows(1).Label = "Ch: ";
|
||||
s.DataTipTemplate.DataTipRows(1).Value = repmat(string(ch),size(ber));
|
||||
s.DataTipTemplate.DataTipRows(1)
|
||||
s.DataTipTemplate.DataTipRows(2) = [];
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
% Draw FEC Threshold Line
|
||||
%get x data of first children:
|
||||
%get all linear Values
|
||||
if 0
|
||||
linear = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,wh.parameter.p_out.values,0,0,499,"symmetric");
|
||||
linear = mean(linear,2);
|
||||
lincurve = findall(AxesMain, 'Type', 'line','DisplayName','Linear Baseline');
|
||||
%
|
||||
if isempty(lincurve)
|
||||
xdata = AxesMain.Children(1).XData;
|
||||
hdfec = 3.8e-3.*ones(size(xdata));
|
||||
plot(xdata,linear,'-','Marker',"o",'MarkerSize',3,'LineWidth',4,'Color',[0.6400 0.6400 0.6400],'MarkerFaceColor',[0.6400 0.6400 0.6400],'Parent', AxesMain,'DisplayName','Linear Baseline');
|
||||
%h = get(gca,'Children');
|
||||
%set(gca,'Children',[h(2) h(1)])
|
||||
end
|
||||
end
|
||||
|
||||
feccurve = findall(AxesMain, 'Type', 'line','DisplayName','FEC $3.8*10^{-3}$');
|
||||
%
|
||||
if isempty(feccurve)
|
||||
xdata = AxesMain.Children(1).XData;
|
||||
hdfec = 3.8e-3.*ones(size(xdata));
|
||||
plot(xdata,hdfec,'--','MarkerSize',4,'Color','black','MarkerFaceColor','black','LineWidth',1,'Parent', AxesMain,'DisplayName','FEC $3.8*10^{-3}$','HandleVisibility','off');
|
||||
%h = get(gca,'Children');
|
||||
%set(gca,'Children',[h(2) h(1)])
|
||||
end
|
||||
|
||||
% Figure Settings
|
||||
%title(AxesMain,plotJob.title,"Interpreter","none");
|
||||
|
||||
xlabel(AxesMain,plotJob.xAxisLabel,"Interpreter","latex");
|
||||
|
||||
ylabel(AxesMain,plotJob.yAxisLabel,"Interpreter","latex");
|
||||
|
||||
set(AxesMain,'yscale','log');
|
||||
|
||||
grid(AxesMain,'on');
|
||||
|
||||
grid(AxesMain,'minor');
|
||||
|
||||
grid minor
|
||||
|
||||
%legend(AxesMain);
|
||||
|
||||
fontsize(AxesMain,8,"points")
|
||||
% fontname(AxesMain,"Arial")
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [2 2 8.5 7];
|
||||
|
||||
set(AxesMain,'TickLabelInterpreter','latex')
|
||||
|
||||
set(AxesMain.Legend,'Interpreter','latex')
|
||||
% set(gcf,'Units','centimeters')
|
||||
% set(gcf,'Position',[2 2 9 4.5])
|
||||
|
||||
ylim([1e-5,0.3]);
|
||||
|
||||
xlim([min(xAxis),-3]);
|
||||
|
||||
|
||||
% annotation('textbox', [0.125, 0.32, 0.1, 0.1], 'String', "FEC 3.8e-3","LineStyle","none","FontSize",8,"FontUnits","points")
|
||||
|
||||
|
||||
hold off
|
||||
|
||||
|
||||
end
|
||||
|
||||
|
||||
function vec = removeZeros(vec)
|
||||
% Find rows that contain only zeros
|
||||
rows_to_remove = all(vec == 0, 2);
|
||||
|
||||
% Remove rows with only zeros
|
||||
vec(rows_to_remove, :) = [];
|
||||
end
|
||||
151
Classes/Warehouse_class/functions/fwm_plots/plotHistogram.m
Normal file
151
Classes/Warehouse_class/functions/fwm_plots/plotHistogram.m
Normal file
@@ -0,0 +1,151 @@
|
||||
function plotHistogram(wh,plotJob)
|
||||
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
col = plotJob.color;
|
||||
|
||||
% we want to fetch all realizations
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
|
||||
% Fetch Data from Warehouse
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
if string(plotJob.dataStatArg) == "Worst"
|
||||
ber(xl) = max(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,string(plotJob.channelplan),string(plotJob.dsp)),[],'all');
|
||||
linew = 2.0;
|
||||
markersz = 3;
|
||||
linestyle = '-';
|
||||
elseif string(plotJob.dataStatArg) == "AVG"
|
||||
ber(xl) = mean(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,string(plotJob.channelplan),string(plotJob.dsp)),'all');
|
||||
linew = 2.0;
|
||||
markersz = 3;
|
||||
linestyle = ':';
|
||||
elseif string(plotJob.dataStatArg) == "Best"
|
||||
ber(xl) = min(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,string(plotJob.channelplan),string(plotJob.dsp)),[],'all');
|
||||
linew = 2.0;
|
||||
markersz = 3;
|
||||
linestyle = ':';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "All Channels; mean(PMD Realizations)"
|
||||
tmp = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,string(plotJob.channelplan),string(plotJob.dsp));
|
||||
|
||||
if numel(tmp(tmp==0)) ~= 0
|
||||
disp('Removed all zero values!');
|
||||
tmp(tmp==0) = NaN;
|
||||
end
|
||||
ber(:,xl) = mean(tmp,1,"omitnan").';
|
||||
|
||||
linew = 0.7;
|
||||
markersz = 2;
|
||||
linestyle = '-';
|
||||
|
||||
elseif string(plotJob.dataStatArg) == "All Channels ;All PMD Realizations"
|
||||
|
||||
|
||||
|
||||
tmp = reshape(wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,string(plotJob.channelplan),string(plotJob.dsp)).',[],1);
|
||||
ber(1:size(tmp,1),xl) = tmp;
|
||||
|
||||
linew = 0.3;
|
||||
markersz = 2;
|
||||
linestyle = ':';
|
||||
end
|
||||
end
|
||||
|
||||
disp('Removed all zero values!');
|
||||
ber(ber==0) = NaN;
|
||||
if ~anynan(ber)
|
||||
[xAxis,ber] = interpCurve(xAxis, ber);
|
||||
end
|
||||
|
||||
% plot FEC Crossing as histogram
|
||||
|
||||
hdfec = 3.8e-3.*ones(size(xAxis));
|
||||
S = [];
|
||||
for i = 1:size(ber,1)
|
||||
a = InterX([hdfec;xAxis],[ber(i,:);xAxis]);
|
||||
if ~isempty(a)
|
||||
S(:,i) = a;
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
%% SUB 1
|
||||
AxesMain = subplot(2,1,1);
|
||||
|
||||
hold on
|
||||
|
||||
if ~isempty(S)
|
||||
histogram(S(end,:),300,'Normalization','probability','FaceColor',col,'EdgeColor',col,'Parent',AxesMain,'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname],'FaceAlpha',0.4,'EdgeAlpha',0.4);
|
||||
end
|
||||
|
||||
xlim([-3 ,9 ]);
|
||||
ylim([0 .10]);
|
||||
|
||||
% Figure Settings
|
||||
title(AxesMain,['$P_{in}:$ ',num2str(plotJob.p_in-9), 'dBm; L : ', num2str(plotJob.l),'Km'],'Interpreter','latex');
|
||||
|
||||
xlabel(AxesMain,plotJob.xAxisLabel,'Interpreter','latex');
|
||||
|
||||
ylabel('PDF')
|
||||
|
||||
grid(AxesMain,'on');
|
||||
|
||||
grid(AxesMain,'minor');
|
||||
|
||||
%legend(AxesMain,'Interpreter','latex');
|
||||
|
||||
fontsize(AxesMain,24,"pixels")
|
||||
|
||||
hold off
|
||||
|
||||
|
||||
%% SUB 2
|
||||
AxesMain = subplot(2,1,2);
|
||||
|
||||
if ~isempty(S)
|
||||
hold on
|
||||
|
||||
[f1,x1]=ecdf(S(end,:));
|
||||
plot(x1,f1,'r','LineWidth',3, 'Color',col,'DisplayName',[plotJob.dataStatArg,' Ch.: ', plotJob.displayname]);
|
||||
end
|
||||
xlim([-3 ,9 ]);
|
||||
ylim([0 1]);
|
||||
% Figure Settings
|
||||
title(AxesMain,['$P_{in}:$ ',num2str(plotJob.p_in-9), 'dBm; L : ', num2str(plotJob.l),'Km'],'Interpreter','latex');
|
||||
|
||||
xlabel(AxesMain,plotJob.xAxisLabel,'Interpreter','latex');
|
||||
|
||||
ylabel('CDF')
|
||||
|
||||
grid(AxesMain,'on');
|
||||
|
||||
grid(AxesMain,'minor');
|
||||
|
||||
fontsize(AxesMain,24,"pixels")
|
||||
|
||||
%legend(AxesMain,'Interpreter','latex');
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
|
||||
hold off
|
||||
|
||||
|
||||
|
||||
end
|
||||
206
Classes/Warehouse_class/functions/fwm_plots/plotViolin.m
Normal file
206
Classes/Warehouse_class/functions/fwm_plots/plotViolin.m
Normal file
@@ -0,0 +1,206 @@
|
||||
function plotViolin(wh,plotJob)
|
||||
|
||||
fig = findall(groot, 'Type', 'figure', 'Name', plotJob.figName);
|
||||
|
||||
if isvalid(fig)
|
||||
figure(fig)
|
||||
fig = get(fig);
|
||||
AxesMain = fig.CurrentAxes;
|
||||
hold on
|
||||
else
|
||||
fig = figure('name',char(plotJob.figName));
|
||||
AxesMain = gca;
|
||||
hold on
|
||||
end
|
||||
|
||||
%% Violin
|
||||
col = plotJob.color;
|
||||
|
||||
% we want to fetch all realizations
|
||||
if plotJob.pmd == 0
|
||||
realization = 1;
|
||||
else
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
end
|
||||
|
||||
%realization = 0:8;
|
||||
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
|
||||
% ber = NaN(500,16,10);
|
||||
% zdw = NaN(500,1,10);
|
||||
|
||||
%get BER values for query
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
|
||||
curber = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw);
|
||||
curber= removeZeros(curber);
|
||||
ber(1:size(curber,1),1:size(curber,2),xl) = curber;
|
||||
|
||||
end
|
||||
|
||||
% to remove outliers set the percentile range
|
||||
% a = squeeze(mean(ber,2));
|
||||
% out = isoutlier(mean(a,2),"percentiles",[0 100]);
|
||||
% ber = ber(~out,:,:);
|
||||
% disp(sum(out));
|
||||
|
||||
hdfec = 3.8e-3.*ones(size(xAxis));
|
||||
S = [];
|
||||
wavelength={};
|
||||
|
||||
|
||||
S = [];
|
||||
S_chann = [];
|
||||
|
||||
wl = calcWavelengthPlan(plotJob.ch,plotJob.channelspacing,1310);
|
||||
%get fec thresholds
|
||||
% [C,ia,ib] =intersect(linx,xAxis);
|
||||
% linear = squeeze(linear);
|
||||
|
||||
%ber(ber==0) = NaN;
|
||||
S_chann_no_crossing = zeros(1,plotJob.ch);
|
||||
for chann = 1:size(ber,2)
|
||||
|
||||
for realiz = 1:size(ber,1)
|
||||
|
||||
ber_series = squeeze(ber(realiz,chann,:)).';
|
||||
if mean(ber_series) > 0.1
|
||||
continue
|
||||
end
|
||||
|
||||
a = InterX([hdfec(:)';xAxis],[ber_series;xAxis]);
|
||||
|
||||
if ~isempty(a)
|
||||
S_chann(realiz,chann) = a(2);
|
||||
% if a(2) > -7 && string(plotJob.pol) == "copolarized"
|
||||
% continue
|
||||
% end
|
||||
S(end+1) = a(2);
|
||||
wavelength{end+1} = num2str(wl(chann));
|
||||
else
|
||||
S(end+1) = 0;
|
||||
wavelength{end+1} = num2str(wl(chann));
|
||||
S_chann_no_crossing(realiz,chann) = 1;
|
||||
S_chann(realiz,chann) = -1;
|
||||
end
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
threshold = -6;
|
||||
FEC_crossed = sum(S_chann < threshold & ~isnan(S_chann),1);
|
||||
FEC_not_crossed = sum(S_chann >= threshold & ~isnan(S_chann),1);
|
||||
failure_rate = FEC_not_crossed ./ (FEC_crossed + FEC_not_crossed) ;
|
||||
|
||||
|
||||
S_chann(S_chann==0) = NaN;
|
||||
|
||||
total_avg = mean(S_chann,"all","omitnan");
|
||||
|
||||
%figure(2024)
|
||||
%C = flip(cbrewer2('Spectral',8));
|
||||
if numel(S) <= numel(wl)
|
||||
vs = scatter(1:numel(S),S,50,'o','MarkerEdgeColor','black','MarkerFaceColor',plotJob.color,'LineWidth',1,'HandleVisibility','off');
|
||||
%vs = scatter(1,mean(S),50,'o','MarkerEdgeColor','black','MarkerFaceColor',plotJob.color,'LineWidth',1);
|
||||
|
||||
else
|
||||
|
||||
vs = violinplot(S,wavelength,...
|
||||
'ViolinColor',plotJob.color,...
|
||||
'ViolinAlpha',0.1,...
|
||||
'MarkerSize',1,...
|
||||
'ShowMedian',false,...
|
||||
'EdgeColor',plotJob.color,...
|
||||
'ShowWhiskers',false,...
|
||||
'ShowData',false,...
|
||||
'ShowBox',false,...
|
||||
'Bandwidth',0.051 ...
|
||||
);
|
||||
|
||||
|
||||
hold on
|
||||
|
||||
partly_failed = boolean(ceil(failure_rate));
|
||||
|
||||
avg = mean(S_chann,1,"omitnan");
|
||||
|
||||
notfailed = ~partly_failed .* avg;
|
||||
notfailed(notfailed==0) = NaN;
|
||||
scatter(1:size(S_chann,2),notfailed,10,'Marker','x','MarkerEdgeColor','black','MarkerFaceColor',plotJob.color,'LineWidth',0.5,'HandleVisibility','off');
|
||||
|
||||
|
||||
hold on
|
||||
partly_failed = partly_failed.*avg;
|
||||
partly_failed(partly_failed==0) = NaN;
|
||||
s=scatter(1:numel(failure_rate),partly_failed,10,'Marker','x','LineWidth',0.5,'HandleVisibility','off','MarkerEdgeColor','red');
|
||||
s.DataTipTemplate.Interpreter = "latex";
|
||||
s.DataTipTemplate.DataTipRows(1).Label = "Fail Rate: ";
|
||||
s.DataTipTemplate.DataTipRows(1).Value = failure_rate;
|
||||
s.DataTipTemplate.DataTipRows(2) = [];
|
||||
hold off
|
||||
end
|
||||
|
||||
% ax = gca;
|
||||
% ax.XTicks
|
||||
|
||||
hold on
|
||||
yline(total_avg,'LineWidth',1,'LineStyle','--','DisplayName','System Avg.')
|
||||
fig.Position = plotJob.Position;
|
||||
|
||||
xticklabels(1:16);
|
||||
ylabel('Penalty in dB');
|
||||
xlabel('Channel Number');
|
||||
ylim([-9.3,-3]);
|
||||
xlim([0,plotJob.ch+1]);
|
||||
grid minor;
|
||||
set(gca, 'color', 'none');
|
||||
legend = [];
|
||||
|
||||
fontsize(AxesMain,8,"points")
|
||||
|
||||
fig.Position = plotJob.Position;
|
||||
fig.Units = "centimeters";
|
||||
fig.Position = [2 2 8.5 7];
|
||||
|
||||
set(AxesMain,'TickLabelInterpreter','latex')
|
||||
|
||||
set(AxesMain.Legend,'Interpreter','latex')
|
||||
|
||||
|
||||
|
||||
if 0
|
||||
ber_sorted = sort(S);
|
||||
|
||||
z1 = [];
|
||||
penalty = mean(ber_sorted):0.01:mean(ber_sorted)+2;
|
||||
|
||||
for i = 1:length(penalty)
|
||||
l = penalty(i);
|
||||
if i == 1
|
||||
z1 = [z1 sum(ber_sorted(1,:)<l ) / length(ber_sorted) ];
|
||||
else
|
||||
z1 = [z1 sum(ber_sorted(1,:)<l & ber_sorted(1,:)>l-0.01) / length(ber_sorted) ];
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
penalty_higherthan = 0.5;
|
||||
probability = sum(z1(find(penalty>mean(ber_sorted)+penalty_higherthan)));
|
||||
disp(['A penalty of more than 0.5 dB has a probability of: ', num2str(probability)]);
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
|
||||
function vec = removeZeros(vec)
|
||||
% Find rows that contain only zeros
|
||||
rows_to_remove = all(vec == 0, 2);
|
||||
|
||||
% Remove rows with only zeros
|
||||
vec(rows_to_remove, :) = [];
|
||||
|
||||
|
||||
end
|
||||
@@ -0,0 +1,58 @@
|
||||
|
||||
%automate plots
|
||||
% [file, path] = uigetfile("C:\Users\Silas\Documents\MATLAB\Raw_Cluster_Simulations\session_januar24\wh_complete_at_1310.mat");
|
||||
% wh = load([path filesep file]);
|
||||
% wh = wh.wh;
|
||||
|
||||
plotJob = struct();
|
||||
|
||||
plotJob.l = 10;
|
||||
plotJob.ch = 16;
|
||||
plotJob.d = 3;
|
||||
plotJob.sgm = 1;
|
||||
plotJob.pol = "copolarized";
|
||||
plotJob.p_in = 3;
|
||||
plotJob.gamma = 0.0023;
|
||||
plotJob.pmd = 0.1;
|
||||
plotJob.channelspacing = 400e9;
|
||||
plotJob.randzdw = 0;
|
||||
|
||||
ber_per_chann = [];
|
||||
% get all xAxis values
|
||||
xAxis = wh.parameter.p_out.values;
|
||||
realization = wh.parameter.realization.values(1:end);
|
||||
% Fetch Data from Warehouse
|
||||
for xl = 1:numel(xAxis)
|
||||
p_out = xAxis(xl);
|
||||
raw_fetch = wh.getStoValue('ber',plotJob.l,plotJob.d,plotJob.sgm,string(plotJob.pol),plotJob.p_in,p_out,plotJob.pmd,plotJob.gamma,realization,plotJob.ch,1310,plotJob.channelspacing,plotJob.randzdw).';
|
||||
|
||||
ber_per_chann(:,:,xl) = raw_fetch;
|
||||
end
|
||||
%%
|
||||
|
||||
figure(2023);
|
||||
|
||||
for ch = [1,floor(plotJob.ch/2),ceil(plotJob.ch/2)+1,plotJob.ch] %1:15:size(ber_per_chann,1)
|
||||
|
||||
for p = 5%1:size(ber_per_chann,3)
|
||||
|
||||
% Extract data for the current row
|
||||
row_data = squeeze(ber_per_chann(ch,:,p));
|
||||
[f, xi] = ksdensity(row_data);
|
||||
% Identify the peak point
|
||||
[max_density, max_index] = max(f);
|
||||
peak_x = xi(max_index);
|
||||
|
||||
end
|
||||
% Create a histogram plot for the current row with a unique color
|
||||
plot(xi, f, 'LineWidth', 2, 'DisplayName', ['Ch. ', num2str(ch)],'LineStyle','--');
|
||||
%histogram(row_data,100, 'DisplayName', ['Channel ', num2str(ch)], 'EdgeColor', 'none');
|
||||
|
||||
hold on; % Hold the plot for the next iteration
|
||||
text(peak_x, max_density, ['Ch ', num2str(ch)], 'VerticalAlignment', 'bottom', 'HorizontalAlignment', 'left');
|
||||
end
|
||||
|
||||
|
||||
legend show
|
||||
|
||||
%%
|
||||
9
Classes/Warehouse_class/functions/interpCurve.m
Normal file
9
Classes/Warehouse_class/functions/interpCurve.m
Normal file
@@ -0,0 +1,9 @@
|
||||
function [fitx,fity] = interpCurve(inpx, inpy)
|
||||
|
||||
fitx = linspace(inpx(1),inpx(end),1000);
|
||||
%x = repmat(inpx, size(inpy) ./ size(inpx));
|
||||
fity = zeros(size(inpy,1),1000);
|
||||
for line = 1:size(inpy,1)
|
||||
fity(line,:) = interp1( inpx , inpy(line,:) , fitx ,"makima");
|
||||
end
|
||||
end
|
||||
129
Classes/Warehouse_class/functions/phase_predist_plots/build_wh.m
Normal file
129
Classes/Warehouse_class/functions/phase_predist_plots/build_wh.m
Normal file
@@ -0,0 +1,129 @@
|
||||
% Script, that shows the data management routine :-)
|
||||
|
||||
|
||||
|
||||
% 1) Define all your parameters, best practice directly constructs a
|
||||
% structure
|
||||
|
||||
params = struct;
|
||||
|
||||
params.D =[0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 ];
|
||||
params.a =[-2 -1.8 -1.6 -1.4 -1.2 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 ];
|
||||
params.chirp =[-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 ];
|
||||
params.rop =[-15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 ];
|
||||
|
||||
%wh = warehouse :-)
|
||||
wh = DataStorage(params);
|
||||
|
||||
wh.showInfo;
|
||||
|
||||
wh.addStorage("ber");
|
||||
|
||||
|
||||
%2) Simulate a bunch of data - TO BE IMPLEMENTED HERE - for now use scripts
|
||||
%from Sebastian
|
||||
|
||||
%3) Once the simulation folder is around, specifiy path and analyze dirs
|
||||
|
||||
path = uigetdir('C:\Users\Silas\Documents\MATLAB\move_it_model_collection\phase_predist_imdd\save2km');
|
||||
|
||||
allMat = getAllFilesInFolder(path,'.mat');
|
||||
allErr = getAllFilesInFolder(path,'.err');
|
||||
|
||||
%allMat = dir([path filesep '*.mat']);
|
||||
|
||||
%allErr = dir([path filesep '*.err']);
|
||||
|
||||
if numel(allMat) == 0
|
||||
warning('You defined an empty folder. Could not locate any .mat file.')
|
||||
else
|
||||
fprintf('%-20s', 'Err Files:'); fprintf('%-12s', num2str(numel(allErr))); fprintf('\n');
|
||||
fprintf('%-20s', 'Mat Files:'); fprintf('%-12s', num2str(numel(allMat))); fprintf('\n');
|
||||
fprintf('%-20s', 'Missing Mat Files:'); fprintf('%-12s', num2str(numel(allErr)-numel(allMat))); fprintf('\n');
|
||||
end
|
||||
|
||||
%4) Now load that data
|
||||
|
||||
f = waitbar(0,'Please wait...');
|
||||
cnt = 0;
|
||||
|
||||
for num = 1:numel(allMat)
|
||||
|
||||
fileName = allMat(num).name;
|
||||
fileFolder = allMat(num).path;
|
||||
fileExt = allMat(num).ext;
|
||||
|
||||
matFile = load([fileFolder filesep fileName fileExt]);
|
||||
matFile = matFile.saveStructTemp;
|
||||
|
||||
% ____________________________________
|
||||
% FIND THE DATAPOINT CURRENTLY LOADED
|
||||
|
||||
D =matFile.common.dispersion;
|
||||
a1 =matFile.common.a1;
|
||||
chirp =matFile.common.chirp_alpha;
|
||||
rop =matFile.common.rec_opt_pow;
|
||||
|
||||
ber = mean(matFile.prms_compare_state.BER);
|
||||
|
||||
wh.addValueToStorage(ber,'ber',D,a1,chirp,rop);
|
||||
|
||||
|
||||
waitbar(num/numel(allMat),f,'Loading your data');
|
||||
end
|
||||
|
||||
close(f)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
% 4) Hey! the warehouse is here and (hopefully) filled with data :-)
|
||||
|
||||
% Create a save dialog
|
||||
defaultDir = 'C:\Users\Silas\Documents\MATLAB\move_it_model_collection\';
|
||||
defaultExt = '*.mat';
|
||||
[filename, pathname] = uiputfile(fullfile(defaultDir, defaultExt),'', 'wh.mat');
|
||||
|
||||
% Check if the user pressed Cancel
|
||||
if isequal(filename, 0) || isequal(pathname, 0)
|
||||
disp('Save operation canceled.');
|
||||
else
|
||||
% Save the variable to the selected file
|
||||
save(fullfile(pathname, filename), 'wh');
|
||||
disp(['Variable "wh" saved to: ', fullfile(pathname, filename)]);
|
||||
end
|
||||
|
||||
|
||||
|
||||
|
||||
function matFileStructArray = getAllFilesInFolder(folderPath,extension)
|
||||
% Get a list of all files in the current folder
|
||||
currentFolderFiles = dir(fullfile(folderPath, '*'));
|
||||
|
||||
% Exclude '.' and '..' directories
|
||||
currentFolderFiles = currentFolderFiles(~ismember({currentFolderFiles.name}, {'.', '..'}));
|
||||
|
||||
% Initialize the structure array for .mat files
|
||||
matFileStructArray = struct('path', {}, 'name', {}, 'ext', {});
|
||||
|
||||
% Loop over each file in the current folder
|
||||
for i = 1:length(currentFolderFiles)
|
||||
currentFile = currentFolderFiles(i);
|
||||
|
||||
% Check if the current item is a file and has a .mat extension
|
||||
if ~currentFile.isdir && endsWith(currentFile.name, extension, 'IgnoreCase', true)
|
||||
% If it's a .mat file, add it to the structure array
|
||||
[matFileStructArray(end + 1).path,matFileStructArray(end+1).name, matFileStructArray(end+1).ext] = fileparts(fullfile(folderPath, currentFile.name));
|
||||
elseif currentFile.isdir
|
||||
% If it's a directory, recursively call the function
|
||||
subfolderPath = fullfile(folderPath, currentFile.name);
|
||||
subfolderMatFiles = getAllFilesInFolder(subfolderPath,extension);
|
||||
|
||||
% Add .mat files from the subfolder to the structure array
|
||||
matFileStructArray = [matFileStructArray, subfolderMatFiles];
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
BIN
Classes/Warehouse_class/plotjob_example.mat
Normal file
BIN
Classes/Warehouse_class/plotjob_example.mat
Normal file
Binary file not shown.
Reference in New Issue
Block a user