chnages from silas pc again
This commit is contained in:
Silas Oettinghaus
@@ -99,6 +99,8 @@ end
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[gmi_vnle] = calc_air(eq_signal_sd,tx_symbols,"skip_front",10000,"skip_end",10000);
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air_vnle = tx_symbols.fs .* floor(log2(double(M))*10)/10 .* gmi_vnle ./ log2(double(M));
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[evm_vnle_total,evm_vnle_lvl] = calc_evm(eq_signal_sd,tx_symbols);
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[std_vnle_total,std_vnle_lvl] = calc_std(eq_signal_sd,tx_symbols);
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[std_rxraw_total,std_rxraw_lvl] = calc_std(rx_signal.resample("fs_out",tx_symbols.fs),tx_symbols);
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% METRICS OF MLSE (HD-VITERBI)
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pf_.ncoeff = 1;
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@@ -127,6 +129,10 @@ resultsVNLE = struct( ...
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'numBitErr_precoded', errors_vnle_diff_precoded, ... % Beispiel: 120 Bitfehler
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'SNR', snr_vnle, ... % Beispielhafte SNR
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'SNR_level', jsonencode(snr_vnle_lvl), ... % SNR-Level als JSON-codiertes Array
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'STD', std_vnle_total, ...
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'STD_level', jsonencode(std_vnle_lvl),...
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'STDrx' , std_rxraw_total, ...
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'STDrx_level', jsonencode(std_rxraw_lvl),...
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'GMI', gmi_vnle, ... % Beispielhafter GMI-Wert
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'AIR', air_vnle, ... % Beispielhafter AIR-Wert
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'EVM', evm_vnle_total, ... % Beispielhafte EVM
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@@ -234,9 +240,12 @@ eq_package.resultsMLSE = resultsMLSE;
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eq_package.equalizerConfigVNLE = equalizerConfigVNLE;
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eq_package.equalizerConfigMLSE = equalizerConfigMLSE;
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% eq_package.vnle_out = eq_signal_sd;
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if options.showAnalysis
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% fprintf(['VNLE EVM lvl: ',repmat('%.3f ',1,numel(evm_lvl)),' \n'],evm_lvl);
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% fprintf('VNLE BER: %.2e \n',ber_vnle);
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@@ -264,6 +273,10 @@ if options.showAnalysis
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figure(341);clf;
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showLevelHistogram(eq_signal_sd,tx_symbols,"fignum",341);
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showLevelScatter(eq_signal_sd,tx_symbols,"fignum",400);
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showLevelScatter(rx_signal.resample("fs_out",tx_symbols.fs),tx_symbols,"fignum",401);
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% autoArrangeFigures(3,3,2)
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129
Functions/EQ_visuals/showLevelScatter.m
Normal file
129
Functions/EQ_visuals/showLevelScatter.m
Normal file
@@ -0,0 +1,129 @@
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function showLevelScatter(eq_signal,ref_symbols,options)
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arguments
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eq_signal
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ref_symbols
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options.fignum (1,1) double = NaN % Default to NaN if not provided
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options.displayname (1,:) char = '' % Default to an empty string if not provided
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options.f_sym = [];
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end
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if isa(eq_signal,'Signal')
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options.f_sym = eq_signal.fs;
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eq_signal = eq_signal.signal;
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end
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if isa(ref_symbols,'Signal')
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ref_symbols = ref_symbols.signal;
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end
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% Determine the figure number to use or create a new figure
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if isnan(options.fignum)
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fig = figure; % Create a new figure and get its handle
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else
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fig = figure(options.fignum); % Use the specified figure number
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clf;
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end
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assert(~isempty(options.f_sym),'No fsym given');
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rx_symbols = eq_signal ./ rms(eq_signal);
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correct_symbols = ref_symbols;
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f_sym = options.f_sym;
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col = cbrewer2('Paired',numel(unique(correct_symbols))*2);
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ccnt = -1;
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levels = unique(correct_symbols);
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start = 1;
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ende = length(correct_symbols);
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% start = 30000;
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% ende = 40000;
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for l = 1:4
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ccnt = ccnt+2;
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level_amplitude = levels(l);
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symbols_for_lvl = NaN(1,length(correct_symbols));
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symbols_for_lvl(correct_symbols==level_amplitude) = rx_symbols(correct_symbols==level_amplitude);
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std_lvl(l) = std(symbols_for_lvl,'omitnan');
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xax_in_sec = ((1:length(correct_symbols)) / f_sym) * 1e6;
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% xax_in_sec = 1:length(correct_symbols);
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scatter(xax_in_sec(start:ende),symbols_for_lvl(start:ende),10,'.','MarkerFaceAlpha',0.5,'MarkerEdgeAlpha',0.5,'MarkerEdgeColor',col(ccnt,:));
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hold on;
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end
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std_lvl = round(std_lvl,2);
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ccnt = 0;
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% Add the windowed/ smoothed curves
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for l = 1:4
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ccnt = ccnt+2;
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level_amplitude = levels(l);
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symbols_for_lvl = NaN(1,length(correct_symbols));
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movmean = 1/250 .* movsum(rx_symbols(correct_symbols==level_amplitude),[250/2,250/2]);
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symbols_for_lvl(correct_symbols==level_amplitude) = movmean;
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nanx = isnan(symbols_for_lvl);
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t = 1:numel(symbols_for_lvl);
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symbols_for_lvl(nanx) = interp1(t(~nanx), symbols_for_lvl(~nanx), t(nanx));
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xax_in_sec = ((1:length(correct_symbols)) / f_sym) * 1e6;
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% xax_in_sec = 1:length(correct_symbols);
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plot(xax_in_sec(start:ende),symbols_for_lvl(start:ende),'Color',col(ccnt,:));
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hold on
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end
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%yline(max(rx_symbols(correct_symbols==levels(2))))
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yline(levels);
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if 0
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annotation(fig,'textbox',...
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[0.660523809523809 0.844444444444448 0.133523809523809 0.0603174603174607],...
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'String',['\sigma = ',num2str(std_lvl(4))],...
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'LineWidth',1.8,...
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'LineStyle','none',...
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'FontSize',12,...
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'FitBoxToText','off');
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% Create textbox
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annotation(fig,'textbox',...
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[0.667666666666665 0.642857142857147 0.133523809523809 0.0603174603174607],...
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'String',['\sigma = ',num2str(std_lvl(3))],...
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'LineWidth',1.8,...
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'LineStyle','none',...
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'FontSize',12,...
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'FitBoxToText','off');
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% Create textbox
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annotation(fig,'textbox',...
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[0.671238095238093 0.442857142857148 0.133523809523809 0.0603174603174608],...
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'String',['\sigma = ',num2str(std_lvl(2))],...
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'LineWidth',1.8,...
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'LineStyle','none',...
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'FontSize',12,...
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'FitBoxToText','off');
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% Create textbox
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annotation(fig,'textbox',...
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[0.670047619047616 0.265079365079371 0.133523809523809 0.0603174603174608],...
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'String',['\sigma = ',num2str(std_lvl(1))],...
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'LineWidth',1.8,...
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'LineStyle','none',...
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'FontSize',12,...
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'FitBoxToText','off');
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end
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% xlim([0, 2.6])
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% ylim([-2 2])
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xlabel('Time in $\mu$s');
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ylabel('Normalized Amplitude');
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end
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68
Functions/Metrics/calc_std.m
Normal file
68
Functions/Metrics/calc_std.m
Normal file
@@ -0,0 +1,68 @@
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function [std_total,std_lvl] = calc_std(test_signal,reference_signal,options)
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arguments(Input)
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test_signal;
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reference_signal;
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options.skip_front = 0;
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options.skip_end = 0;
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options.returnErrorLocation = 0;
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end
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options.skip_end = abs(options.skip_end);
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options.skip_front = abs(options.skip_front);
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assert((options.skip_end+options.skip_front)<length(test_signal),"You can not skip more bits than overall length of data! Set skip_front or skip_end to lower value or check data_in");
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if isa(reference_signal,'Signal')
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reference_signal = reference_signal.signal;
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end
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if isa(test_signal,'Signal')
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test_signal = test_signal.signal;
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end
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% TRIM
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[test_signal,reference_signal]=trimseq(test_signal,reference_signal,options.skip_front,options.skip_end);
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% CALC EVM
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[std_total,std_lvl] = calc_std_(test_signal,reference_signal);
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function [std_total,std_lvl] = calc_std_(test_signal,reference_signal)
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assert(length(test_signal) == length(reference_signal),"Sequence length does not match");
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error_vector = (test_signal-reference_signal);
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%%% Overall EVM
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std_total = std(test_signal);
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test_signal = test_signal ./ rms(test_signal);
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try
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%%% Per Level EVM
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k = unique(reference_signal);
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for lvl = 1:length(k)
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% lvl_errors = error_vector(reference_signal==k(lvl));
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std_lvl(lvl) = std(test_signal(reference_signal==k(lvl)));
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end
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catch
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std_lvl = NaN;
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warning('No EVM per level calculated')
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end
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end
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function [data_,reference_] = trimseq(data,reference,skipstart,skip_end)
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data_ = data(skipstart+1:end-skip_end,:);
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delta_bits = length(reference) - length(data);
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skip_end = delta_bits + skip_end;
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reference_ = reference(skipstart+1:end-skip_end,:);
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end
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end
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19
Functions/connect_database_test.m
Normal file
19
Functions/connect_database_test.m
Normal file
@@ -0,0 +1,19 @@
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datasource = "jdbc:mysql://134.245.243.254:3306/labor";
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conn = database( ...
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"labor", ... % Database name
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"silas", ... % Username
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"silas", ... % Password (or getSecret)
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"Vendor", "MySQL", ...
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"Server", "134.245.243.254", ...
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"PortNumber", 3306, ...
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"JDBCDriverLocation", "C:\Users\Silas\Documents\mysql-connector-j-9.3.0\mysql-connector-j-9.3.0.jar");
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% Query all table names
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sqlquery = "SHOW TABLES;";
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results = fetch(conn, sqlquery);
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% Display the table names
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disp("Tables in the database:");
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disp(results);
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