Stuff during JLT writing...
This commit is contained in:
Silas Oettinghaus
@@ -95,12 +95,12 @@ try
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adaption= 1;
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use_dd_mode = 1;
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use_ffe = 0;
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use_dfe = 0;
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use_ffe = 1;
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use_dfe = 1;
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use_vnle_mlse = 1;
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use_dbtgt = 0;
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use_dbenc = 0;
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use_ml_mlse = 0;
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use_dbtgt = 1;
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use_dbenc = 1;
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use_ml_mlse = 1;
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addProcessingResultToDatabase = 0;
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@@ -140,7 +140,12 @@ try
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% Preprocess signal
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Scpe_sig = preprocessSignal(Scpe_cell{r}, Symbols, fsym);
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Scpe_sig.spectrum("fignum",2223,"normalizeTo0dB",1,"displayname",'Rx');
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Scpe_sig.spectrum("fignum",200,"normalizeTo0dB",1,"displayname",'Rx','addDCoffset',-6);
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Scpe_sig.spectrum("fignum",201,"normalizeTo0dB",0,"displayname",'Rx');
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ylim([-30,3]);
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xlim([-5,100]);
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% Scpe_sig.spectrum("fignum",22233,"normalizeTo0dB",0,"displayname",'Rx');
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% Scpe_sig.eye(fsym,M,"fignum",1024);
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@@ -239,10 +244,10 @@ try
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if use_ml_mlse
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%ML-based MLSE (L=2)
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mu_ml = 0.01; training_epochs = 250;
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mu_ml = 0.01; training_epochs = 100;
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ml_mlse_equalizer = ML_MLSE("epochs_tr",training_epochs,"epochs_dd",1, ...
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"len_tr",length(Scpe_sig),"mu_dd",mu_ml,"mu_tr",mu_ml,"order",11,"sps",2, ...
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"traceback_depth",128,"L",2,"delta",4,"adaptive_mu",0);
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"traceback_depth",128,"L",1,"delta",4,"adaptive_mu",0);
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[ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Scpe_sig, Symbols, Tx_bits,"precode_mode",duob_mode);
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output.mlmlse_package{r} = ml_mlse_results;
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@@ -16,9 +16,11 @@ Scpe_sig = Scpe_sig.resample("fs_out", 2*fsym);
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[Scpe_sig, ~] = Scpe_sig.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 0);
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% Apply Gaussian filter
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if 1
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Scpe_sig = Filter('filtdegree', 8, "f_cutoff", Symbols.fs.*0.52, ...
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"fs", Scpe_sig.fs, "filterType", filtertypes.gaussian, ...
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"active", true).process(Scpe_sig);
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end
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% Remove DC offset
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Scpe_sig = Scpe_sig - mean(Scpe_sig.signal);
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@@ -1,5 +1,5 @@
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% Define the precomp path
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precomp_path = "C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\ECOC_2025\";
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precomp_path = "C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\precomp";
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% Step 1: Find all valid files (assume .mat files for ChannelFreqResp)
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fileList = dir(fullfile(precomp_path, '*.mat'));
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@@ -1,51 +0,0 @@
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figure(2)
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tiledlayout(1,3)
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cols = linspecer(5);
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cnt = 1;
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for m = [4,6,8]
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M = m;
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fsym = 112e9;
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fdac = 256e9;
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[Digi_sig,Symbols,Tx_bits] = PAMsource(...
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"fsym",fsym,"M",M,"order",19,"useprbs",1,...
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"fs_out",fdac,...
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"applyclipping",0,"clipfactor",1.5,...
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"applypulseform",0,"pulseformer",NaN,...
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"randkey",33,...
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"db_precode",1,"db_encode",0,...
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"mrds_code",0,"mrds_blocklength",512).process();
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Symbols_pre = Duobinary().precode(Symbols);
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Symbols_db = Duobinary().encode(Symbols_pre);
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if M == 4
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Symbols_db.signal = Symbols_db.signal .*sqrt(2.5);
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elseif M == 6
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Symbols_db.signal = Symbols_db.signal .*sqrt(5.8);
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elseif M == 8
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Symbols_db.signal = Symbols_db.signal .*sqrt(10.5);
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end
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% figure(1)
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% hold on
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% histogram(Symbols_db.signal,"EdgeAlpha",0.3,"Normalization","probability");
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% figure(1)
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nexttile
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hold on
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bar(unique(Symbols_db.signal),histcounts(int32(Symbols_db.signal),"Normalization","probability"),"FaceColor",cols(cnt,:),"FaceAlpha",0.6,"BarWidth",1-(0.2*cnt),"LineWidth",0.5,"EdgeColor",'black','DisplayName',['Duobinary PAM-',num2str(M)]);
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xticks(unique(Symbols_db.signal));
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ylim([0 0.26]);
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xlabel("Symbol")
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cnt = cnt+1,
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end
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@@ -1,18 +0,0 @@
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% Define the filter taps
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h_ = {[1],[1 1],[1 2 1],[1 3 3 1]};
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for i = 1:length(h_)
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h = h_{i};
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[H, w] = freqz(h, 1, 1024, 1);
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figure(1);
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hold on
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plot(w, 10*log10(abs(H)), 'LineWidth', 2,'DisplayName',['$(1+D)^2$']); %todo
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xlabel('Normalized Frequency');
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ylabel('Amplitude in dB');
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grid on;
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ylim([-20,10])
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end
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@@ -23,8 +23,8 @@ num_markers = length(markers);
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% --- style all lines consistently
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for i = 1:length(lines)
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lines(i).LineWidth = 1.1;
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lines(i).LineStyle = '-';
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lines(i).LineWidth = 1;
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% lines(i).LineStyle = '-';
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if string(lines(i).Marker) == "none"
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lines(i).Marker = markers{mod(i-1, num_markers) + 1};
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end
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@@ -88,10 +88,23 @@ if options.logscale
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set(gca, 'YScale', 'log');
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end
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% --- Figure size in centimeters ---
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% width_pt = 500;
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% height_pt = 300;
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%
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% pt2cm = 0.03514598; % TeX point → cm
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% width_cm = width_pt * pt2cm; % = 8.85 cm
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% height_cm = height_pt * pt2cm; % = 2.81 cm
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%
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% set(gcf, 'Units', 'centimeters', 'Position', [2 2 width_cm height_cm]);
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% set(gcf, 'PaperUnits', 'centimeters', 'PaperPosition', [0 0 width_cm height_cm]);
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% --- Formatting ---
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set(findall(gca, '-property', 'Interpreter'), 'Interpreter', 'latex');
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set(gcf, 'Color', 'w');
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set(gca, 'Box', 'on', 'LineWidth', 0.8);
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grid on;
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set(gca, 'FontSize', 10, 'FontName', 'Times New Roman');
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set(gca, 'FontSize', 10, 'FontName', 'Latin Modern Roman');
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end
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