halfway merged and pulled?!

projects/HighSpeedExperiment_2024/Auswertung_JLT/final/FIGURE_ROP.m

@@ -0,0 +1,153 @@
+%% ============================================================
+%  LOAD DATA (PAM-4, sweep over ROP)
+% ============================================================
+database_type = 'mysql';
+db = DBHandler("dataBase", "labor_highspeed", "type", database_type);
+
+pam_level = 4;
+fiberL = 1;                      % 1 km
+wlen = 1310;
+baudrate = 360e9;
+
+fp = QueryFilter();
+fp.where('Runs','pam_level','EQUALS', pam_level);
+fp.where('Runs','fiber_length','EQUALS', fiberL);
+fp.where('Runs','wavelength','EQUALS', wlen);
+fp.where('Runs','bitrate','EQUALS', baudrate);
+fp.where('Runs','power_pd_in','LESS_THAN', 7);
+
+fields = [
+    db.getTableFieldNames('power_state_info');
+    db.getTableFieldNames('dashboard_ungrouped_alltime')
+];
+
+[dataTable,~] = db.queryDB(fp, fields);
+
+
+%% ============================================================
+%  DSP SCHEMES (Best combinations only)
+% ============================================================
+curves = struct;
+
+curves(1).name  = 'VNLE';
+curves(1).eq    = equalizer_structure.vnle;
+curves(1).color = clr.Paired.red;
+
+curves(2).name  = 'PF + MLSE';
+curves(2).eq    = equalizer_structure.vnle_pf_mlse;
+curves(2).color = clr.Paired.green;
+
+curves(3).name  = 'DB-target + MLSE';
+curves(3).eq    = equalizer_structure.vnle_db_mlse;
+curves(3).color = clr.Paired.blue;
+
+curves(4).name  = 'ML-based MLSE';
+curves(4).eq    = equalizer_structure.ml_mlse;
+curves(4).color = clr.Paired.purple;
+
+
+
+
+%% ============================================================
+%  ANALYSIS ENGINE (No plotting)
+% ============================================================
+results = struct;
+
+for k = 1:numel(curves)
+
+    pre_emph   = decide_preemph(pam_level,curves(k).eq);
+    precoded   = decide_precoded(pam_level,curves(k).eq);
+
+    cfg = struct;
+    cfg.x_axis   = 'power_mzm';      % ROP axis
+    cfg.y_axis   = 'BER';
+    cfg.agg      = 'min';
+    cfg.outlier  = 'none';
+    cfg.show_raw = false;
+
+    cfg.filters = struct( ...
+        'pam_level', pam_level, ...
+        'fiber_length', fiberL, ...
+        'wavelength', wlen, ...
+        'bitrate', baudrate, ...
+        'is_mpi', 0, ...
+        'equalizer_structure', curves(k).eq, ...
+        'pre_emph', pre_emph);
+
+    A = analyze_measurements_gpt(dataTable, cfg);
+
+    results(k).x = A.group{1}.x;
+    if precoded
+        results(k).ber = A.group{1}.y_precoded;
+    else
+        results(k).ber = A.group{1}.y;
+    end
+end
+
+
+%% ============================================================
+%  PLOT — BER vs ROP (Single Axis)
+% ============================================================
+fig = figure(); clf; hold on;
+
+lw = 2.0;
+ms = 7;
+
+for k = 1:numel(curves)
+    plot(results(k).x, results(k).ber, ...
+        '-o', ...
+        'Color', curves(k).color, ...
+        'MarkerFaceColor', curves(k).color, ...
+        'MarkerSize', ms, ...
+        'LineWidth', lw, ...
+        'DisplayName', curves(k).name);
+end
+
+set(gca,'YScale','log');
+grid on;
+
+xlabel('ROP / Power (MZM) [dBm]');
+ylabel('BER');
+
+ylim([1e-4 2e-1]);
+
+title(sprintf('BER vs ROP — PAM-%d, %.0f km, %.0f GBd, %.0f nm', ...
+      pam_level, fiberL, baudrate*1e-9, wlen));
+
+legend('Location','best');
+beautifyBERplot();
+
+pos = 1e3.*[0.2 0.6 1.3 0.4];
+set(fig, 'Position', pos);
+
+%% ============================================================
+% DECISION LOGIC (INLINE FUNCTIONS)
+% ============================================================
+
+function pe = decide_preemph(M, eq)
+    % PRE-EMPH RULES:
+    switch M
+        case 4
+            if eq == equalizer_structure.vnle
+                pe = 1;     % PAM4: VNLE → pre-emph on
+            else
+                pe = 0;     % PAM4: all others → off
+            end
+        case {6,8}
+            pe = 1;         % PAM6/8: all → pre-emph on
+        otherwise
+            pe = 0;
+    end
+end
+
+
+function flag = decide_precoded(M, eq)
+    % PRE-CODE RULES:
+    if eq == equalizer_structure.vnle_db_mlse
+        flag = 1;                         % Always for DB-target
+    elseif eq == equalizer_structure.ml_mlse && M == 4
+        flag = 1;                         % PAM4: ML-based → precoded
+    else
+        flag = 0;
+    end
+end