Add new minimal example (+ a ton of other, not so important, changes)

2025-12-15 15:04:15 +01:00
parent 75dddca1f2
commit 569e72a1fe
43 changed files with 3594 additions and 674 deletions
--- a/projects/HighSpeedExperiment_2024/Auswertung_JLT/final/FIGURE_WAVELENGTH.m
+++ b/projects/HighSpeedExperiment_2024/Auswertung_JLT/final/FIGURE_WAVELENGTH.m
@@ -0,0 +1,124 @@
+%% ============================================================
+%  LOAD DATA
+% ============================================================
+database_type = 'mysql';
+db = DBHandler("dataBase", "labor_highspeed", "type", database_type);
+
+M = 4;  % PAM level for this analysis
+
+fp = QueryFilter();
+fp.where('Runs', 'pam_level',      'EQUALS', M);
+fp.where('Runs', 'fiber_length',   'EQUALS', 10);
+fp.where('Runs', 'bitrate',        'EQUALS', 360e9);
+fp.where('Runs', 'is_mpi',         'EQUALS', 0);
+
+fields = [
+    db.getTableFieldNames('power_state_info');
+    db.getTableFieldNames('dashboard_ungrouped_alltime')
+];
+
+[dataTable, ~] = db.queryDB(fp, fields);
+
+
+%% ============================================================
+%  COMMON CONFIGURATION FOR ALL SUBPLOTS
+% ============================================================
+%% ============================================================
+%  DEFINE DSP ALGORITHMS FOR THE 4 SUBPLOTS
+% ============================================================
+curves = struct;
+
+curves(1).name  = 'VNLE';
+curves(1).eq    = equalizer_structure.vnle;
+curves(1).pre   = 0;
+curves(1).color = clr.Paired.red;
+
+curves(2).name  = 'PF + MLSE';
+curves(2).eq    = equalizer_structure.vnle_pf_mlse;
+curves(2).pre   = 0;
+curves(2).color = clr.Paired.green;
+
+curves(3).name  = 'DB-target + MLSE';
+curves(3).eq    = equalizer_structure.vnle_db_mlse;
+curves(3).pre   = 0;
+curves(3).color = clr.Paired.blue;
+
+curves(4).name  = 'ML-based MLSE';
+curves(4).eq    = equalizer_structure.ml_mlse;
+if M == 4
+curves(4).pre   = 0;
+else
+curves(4).pre   = 1;
+end
+curves(4).color = clr.Paired.purple;
+
+
+%% ============================================================
+%  ANALYSIS ENGINE — NO PLOTTING
+% ============================================================
+results = struct;
+
+for k = 1:numel(curves)
+
+    %% ---- BASE CONFIG ----
+    cfg = struct;
+    cfg.x_axis   = 'wavelength';
+    cfg.y_axis   = 'BER';
+    cfg.agg      = 'min';
+    cfg.outlier  = 'none';
+    % cfg.group_by = {'wavelength'};
+    cfg.show_raw = false;
+
+    cfg.filters = struct( ...
+        'pam_level',    M, ...
+        'is_mpi',       0, ...
+        'bitrate',      360e9, ...
+        'fiber_length', 10, ...
+        'equalizer_structure', curves(k).eq, ...
+        'pre_emph',     curves(k).pre);
+
+    %% ---- GET BER ----
+    cfg.y_axis = 'BER';
+    A = analyze_measurements_gpt(dataTable, cfg);
+
+    results(k).wavelength = A.group{1}.x;
+
+    if curves(k).eq == equalizer_structure.vnle_db_mlse || ...
+       curves(k).eq == equalizer_structure.ml_mlse
+        % DB and ML-based need precoded BER
+        results(k).ber = A.group{1}.y_precoded;
+    else
+        results(k).ber = A.group{1}.y;
+    end
+
+end
+
+%% ============================================================
+%  1×4 TILED BER-vs-WAVELENGTH FIGURE
+% ============================================================
+fig=figure(901); 
+tiledlayout(1,4,'TileSpacing','compact','Padding','compact');
+
+lw = 1.8;    % line width
+ms = 6;      % marker size
+
+for k = 1:numel(curves)
+    nexttile; hold on;
+
+    plot(results(k).wavelength, results(k).ber, ...
+        '-o', ...
+        'Color', curves(k).color, ...
+        'MarkerFaceColor', curves(k).color, ...
+        'MarkerSize', ms, ...
+        'LineWidth', lw);
+
+    set(gca,'YScale','log');
+    grid on;
+    xlabel('wavelength');
+    ylabel('BER');
+    title(curves(k).name);
+    ylim([1e-4, 0.1])
+    beautifyBERplot();
+end
+pos = 1e3.*[0.1070    0.5497    1.4113    0.3253];
+set(fig, 'Position', pos);