Theory stuff from sials work pc; minor stuff here and there
This commit is contained in:
Silas Oettinghaus
@@ -2,7 +2,7 @@ dsp_options.storage_path = 'Z:\2024\sioe_labor\';
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dsp_options.max_occurences = 1;
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database = DBHandler("dataBase", 'labor_highspeed', "type", 'mysql' );
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rates = [300e9];
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rates = [420e9];
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cols = cbrewer2('BuPu',25);
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cols = [cols(end-10:2:end,:)];
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cols = cbrewer2('Set1',6);
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@@ -10,7 +10,7 @@ cols = cbrewer2('Set1',6);
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fignum = 200;
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fig=figure(fignum);clf;
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for dbmode = 0:1%length(rates)
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for dbmode = 1%length(rates)
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if 0
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@@ -59,8 +59,8 @@ for dbmode = 0:1%length(rates)
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M = 4;
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fp.where('Runs', 'pam_level','EQUALS', M);
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fp.where('Runs', 'bitrate','EQUALS', rates);%360,390
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fp.where('Runs', 'fiber_length','EQUALS', 10);
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fp.where('Runs', 'wavelength','EQUALS', 1322.7); %1327.4
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fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'wavelength','EQUALS', 1310); %1327.4
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fp.where('Runs', 'db_mode','EQUALS', dbmode);
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fp.where('Runs', 'rop_attenuation','EQUAL', 0);
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@@ -85,7 +85,7 @@ for dbmode = 0:1%length(rates)
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%%% 4) Plot RX Signal
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Scpe_sig.spectrum("fignum",fignum+dbmode,"normalizeTo0dB",1,"displayname",'Rx','addDCoffset',1,'color',[0,0,0],'normalizeToNyquist',0,'linestyle',':');
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Scpe_sig.eye(fsym,M,"fignum",47,"displayname",' Eye of AVG Signal');
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Scpe_sig.eye(fsym,M,"fignum",47,"displayname",' Eye of AVG Signal');
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% xline(Symbols.fs/2.*1e-9,'Color',cols(r,:),'HandleVisibility','off');
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average_signals = 1;
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@@ -98,7 +98,10 @@ Scpe_sig.eye(fsym,M,"fignum",47,"displayname",' Eye of AVG Signal');
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scope_mean = scope_mean ./ n;
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Scpe_sig_avg.signal = scope_mean;
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Scpe_sig_avg.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
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figure(20);hold on
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Symbols.spectrum("fignum",20,"normalizeTo0dB",1,"displayname",'Full Response','addDCoffset',0,'color',clr.Set1.red,'normalizeToNyquist',0,'linestyle','--');
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DB_Symbols.spectrum("fignum",20,"normalizeTo0dB",1,"displayname",'DB-Response','addDCoffset',0,'color',clr.Set1.blue,'normalizeToNyquist',0,'linestyle','--');
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Scpe_sig_avg.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1,"addDCoffset",5);
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Scpe_sig_avg.plot("displayname","Scope raw signal","fignum",27,"clear",1);
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Scpe_sig_avg.eye(fsym,M,"fignum",48,"displayname",' Eye of AVG Signal');
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end
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@@ -0,0 +1,127 @@
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%% Main Script: Compare Bibliographies
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% This script loads two .bbl files, parses them into tables, and compares
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% them to find missing citations and duplicates.
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clc; clear; close all;
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% --- STEP 0: Create Dummy Files for Demonstration ---
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% (You can remove this step if you have actual files on disk)
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file1 = 'C:\Users\Silas\Documents\latex\JLT_400G_submission\Advanced_DSP_for_400G_IMDD.bbl'; % The file based on your input
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file2 = 'C:\Users\Silas\Documents\latex\JLT_400G_submission\Advanced_DSP_for_400G_IMDD_v1.bbl'; % A modified version to show differences
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% --- STEP 1: Load and Parse Files ---
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fprintf('Loading files...\n');
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try
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tab1 = parse_bbl_file(file1);
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tab2 = parse_bbl_file(file2);
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catch ME
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error('Error loading files: %s', ME.message);
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end
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fprintf('File 1 (%s): %d citations found.\n', file1, height(tab1));
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fprintf('File 2 (%s): %d citations found.\n', file2, height(tab2));
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disp('------------------------------------------------------------');
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% --- STEP 2: Check for Duplicates within files ---
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check_duplicates(tab1, file1);
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check_duplicates(tab2, file2);
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disp('------------------------------------------------------------');
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% --- STEP 3: Compare Files (Set Differences) ---
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% Find keys in A that are NOT in B
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[~, idx1] = setdiff(tab1.Key, tab2.Key);
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missing_in_B = tab1(idx1, :);
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% Find keys in B that are NOT in A
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[~, idx2] = setdiff(tab2.Key, tab1.Key);
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missing_in_A = tab2(idx2, :);
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% --- STEP 4: Display Comparison Results ---
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if isempty(missing_in_B)
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fprintf('All citations from %s are present in %s.\n', file1, file2);
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else
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fprintf('Citations in %s but MISSING in %s (%d):\n', file1, file2, height(missing_in_B));
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disp(missing_in_B.Key);
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end
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fprintf('\n');
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if isempty(missing_in_A)
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fprintf('All citations from %s are present in %s.\n', file2, file1);
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else
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fprintf('Citations in %s but MISSING in %s (%d):\n', file2, file1, height(missing_in_A));
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disp(missing_in_A.Key);
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end
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%% ---------------------------------------------------------
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% HELPER FUNCTIONS
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% ---------------------------------------------------------
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function check_duplicates(T, filename)
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% Checks if the 'Key' column has non-unique entries
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[uKeys, ~, idx] = unique(T.Key);
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counts = accumarray(idx, 1);
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dup_indices = find(counts > 1);
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if isempty(dup_indices)
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fprintf('No duplicates found in %s.\n', filename);
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else
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fprintf('** WARNING: Duplicates found in %s! **\n', filename);
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for i = 1:length(dup_indices)
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key_idx = dup_indices(i);
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fprintf(' Key "%s" appears %d times.\n', uKeys{key_idx}, counts(key_idx));
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end
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end
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end
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function bibTable = parse_bbl_file(filename)
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% PARSE_BBL_FILE Loads a .bbl file and extracts citations using Regex.
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%
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% bibTable = PARSE_BBL_FILE(filename) returns a table with columns:
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% - Key: The citation key (e.g., 'dambrosiaAug2025Progress')
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% - RawContent: The full text of the citation entry
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% - Line: Approximate line number where it starts
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% 1. Read the file content
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if ~isfile(filename)
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error('File "%s" not found.', filename);
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end
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str = fileread(filename);
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% 2. Define Regex Structure
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% Explanation:
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% \\bibitem\{ -> Match literal "\bibitem{"
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% (?<Key>[^}]+) -> Capture Group 'Key': match anything except '}'
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% \} -> Match literal "}"
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% \s* -> Match optional whitespace
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% (?<Content>.*?) -> Capture Group 'Content': match any character lazily...
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% (?=(\\bibitem|\\end\{thebibliography\})) -> ...until looking ahead sees "\bibitem" or end of env.
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% Note: 'dotexceptnewline' is usually default, but we need dot to match newlines
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% for multi-line citations. We handle this using the '(?s)' flag or explicit loop.
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% Here we use standard pattern matching.
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pattern = '\\bibitem\{(?<Key>[^}]+)\}\s*(?<Content>.*?)(?=(\\bibitem|\\end\{thebibliography\}))';
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% 3. Execute Regex
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% 'warnings' turned off for empty matches if file is malformed
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[matches] = regexp(str, pattern, 'names');
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% 4. Convert to Table
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if isempty(matches)
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warning('No citations found in %s using standard regex.', filename);
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bibTable = table({}, {}, 'VariableNames', {'Key', 'RawContent'});
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return;
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end
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% Clean up content (remove leading/trailing spaces/newlines)
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keys = {matches.Key}';
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content = {matches.Content}';
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content = strtrim(content);
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bibTable = table(keys, content, 'VariableNames', {'Key', 'RawContent'});
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end
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