Minimal changes
Add Theory plots for Silas Diss
This commit is contained in:
Silas Oettinghaus
@@ -6,7 +6,7 @@ db = DBHandler("dataBase", "labor_highspeed", "type", database_type);
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pam_levels = [4, 6, 8]; % three tiles
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bitrate_set = 360e9;
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fiberL = 10;
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fiberL = 2;
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fields = [
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db.getTableFieldNames('power_state_info');
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@@ -96,7 +96,7 @@ end
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%% ============================================================
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% PLOT — 1×3 (PAM-4, PAM-6, PAM-8)
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% ============================================================
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fig = figure(9110); clf;
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fig = figure(9112); clf;
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tiledlayout(1,3,'TileSpacing','compact','Padding','compact');
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lw = 1.8;
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@@ -223,19 +223,19 @@ ylabel('');
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end
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pos = 1e3.*[2.7770 1.2017 1.4000 0.3200];
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set(fig, 'Position', pos);
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% pos = 1e3.*[2.7770 1.2017 1.4000 0.3200];
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% set(fig, 'Position', pos);
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%% === EXPORT ===
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outfile = 'C:\Users\Silas\Documents\latex\JLT_400G copy\media\matlab2tikz\wavelength_analysis.tikz';
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matlab2tikz(outfile, ...
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'width','\fwidth', ...
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'height','\fheight', ...
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'showInfo',false, ...
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'extraAxisOptions',{ ...
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'legend style={font=\footnotesize}', ...
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'legend columns=1' ...
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});
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% outfile = 'C:\Users\Silas\Documents\latex\JLT_400G copy\media\matlab2tikz\wavelength_analysis.tikz';
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% matlab2tikz(outfile, ...
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% 'width','\fwidth', ...
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% 'height','\fheight', ...
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% 'showInfo',false, ...
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% 'extraAxisOptions',{ ...
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% 'legend style={font=\footnotesize}', ...
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% 'legend columns=1' ...
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% });
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@@ -7,113 +7,133 @@ data = readtable(tablename,"Delimiter",';','DecimalSeparator',',');
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% PLOT
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% ============================================================
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%% 1. DATA EXTRACTION & SETUP
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% Extract columns from the table
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%% 1. DATA EXTRACTION & SETUP
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raw_M = data.M;
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raw_baud = data.BaudRate;
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raw_net = data.NetRate;
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raw_names = string(data.ZoteroCode);
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raw_band = string(data.Band); % Spalte 'Band' als String extrahieren
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raw_codes = string(data.ZoteroCode);
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raw_names = string(data.Name);
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raw_band = string(data.Band);
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% Filter: Keep only PAM 2, 4, 6, 8 and rows where Rates are not NaN
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% Filter Valid Data
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target_M = [2, 4, 6, 8];
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validIdx = ismember(raw_M, target_M) & ~isnan(raw_baud) & ~isnan(raw_net);
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% Apply filter to create the working variables
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Mvals = raw_M(validIdx);
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baud = raw_baud(validIdx);
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netrate = raw_net(validIdx);
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codes = raw_codes(validIdx);
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names = raw_names(validIdx);
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bands = raw_band(validIdx); % Gefilterte Bands
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bands = raw_band(validIdx);
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% Setup Lists for Formatting
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pam_list = target_M;
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colors = flip(cbrewer2('SET1',4));
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% Visual Settings
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colors = lines(4); % 4 Farben für PAM-2,4,6,8
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% 2. PLOT
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%% 2. PLOT (For Visual Check only)
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figure; hold on;
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ms = 40; % Marker size (etwas größer für bessere Sichtbarkeit)
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lw = 1.5; % Line width für Fit
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ms = 20;
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lw = 0.5;
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for k = 1:length(pam_list) % Loop durch PAM-Formate
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for k = 1:length(pam_list)
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M = pam_list(k);
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% Logical mask for current PAM
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idxPam = (Mvals == M);
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% Extract for this PAM
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x = baud(idxPam);
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y = netrate(idxPam);
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b = bands(idxPam);
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n = names(idxPam);
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b = bands(idxPam); % Bands für diese PAM-Gruppe
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% Get color for this PAM format
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col = colors(k,:);
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% ----- LEGEND FLAG -----
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firstLegend = true;
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% ---- PLOT ALL POINTS (Marker basierend auf Band) ----
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for i = 1:sum(idxPam)
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% === MARKER LOGIC ===
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currentBand = b(i);
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if strcmpi(currentBand, 'O')
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marker = 'o'; % Kreis für O-Band
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elseif strcmpi(currentBand, 'C')
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marker = 'd'; % Diamond für C-Band
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% Marker Logic
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ms = 20;
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if strcmpi(b(i), 'O')
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marker = 'o';
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elseif strcmpi(b(i), 'C')
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marker = 'd';
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else
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marker = 's'; % Fallback (Quadrat), falls andere Bands auftauchen
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marker = 's';
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end
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if strcmpi(n(i), 'THIS WORK')
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marker = 'pentagram';
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ms = 100;
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end
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% Plotting
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% Plot Scatter
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if firstLegend
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h = scatter(x(i), y(i), ms, ...
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'Marker', marker, ...
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'MarkerEdgeColor', col, ...
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'MarkerFaceColor', col, ...
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scatter(x(i), y(i), ms, 'Marker', marker, ...
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'MarkerEdgeColor', col, 'MarkerFaceColor', col, ...
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'DisplayName', sprintf('PAM-%d', M));
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firstLegend = false;
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else
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h = scatter(x(i), y(i), ms, ...
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'Marker', marker, ...
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'MarkerEdgeColor', col, ...
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'MarkerFaceColor', col, ...
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scatter(x(i), y(i), ms, 'Marker', marker, ...
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'MarkerEdgeColor', col, 'MarkerFaceColor', col, ...
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'HandleVisibility','off');
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end
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% ====== CUSTOM DATATIP CONTENT ======
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dt = h.DataTipTemplate;
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dt.DataTipRows(1).Label = 'Baud rate';
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dt.DataTipRows(2).Label = 'Net rate';
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dt.DataTipRows(end+1) = dataTipTextRow('Band', b(i)); % Zeigt Band an
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dt.DataTipRows(end+1) = dataTipTextRow('Paper', n(i));
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end
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% ---- Fit (PAM-specific) ----
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% Fit lines
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if length(x) >= 3
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[p, S, mu] = polyfit(x, y, 2);
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xfit = linspace(min(x), max(x), 200);
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yfit = polyval(p, xfit, S, mu);
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plot(xfit, yfit, ':', ...
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'LineWidth', lw, ...
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'Color', col, ...
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'HandleVisibility', 'off');
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plot(xfit, yfit, '-', 'LineWidth', lw, 'Color', col, 'HandleVisibility', 'off');
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end
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end
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grid on; box on;
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xlabel('Baud rate [GBd]');
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ylabel('Net rate [Gb/s]');
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title('Transmission Records (Circle=O, Diamond=C)');
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legend('Location','northwest');
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set(gca,'FontSize',11);
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% title('Check Command Window for TikZ Code');
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% legend('Location','northwest');
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%% 3. GENERATE TIKZ ANNOTATION CODE
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% This prints the manual \draw commands to the console
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%% GENERATE TIKZ ANNOTATION CODE
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% This prints the manual \draw commands to the console
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%% GENERATE TIKZ ANNOTATION CODE (Colored Borders + Tiny Font)
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%% GENERATE TIKZ ANNOTATION CODE (No Arrow, Close Text)
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fprintf('\n\n%% ===========================================================\n');
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fprintf('%% COPY THE FOLLOWING LINES INTO YOUR .TEX FILE \n');
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fprintf('%% (Paste them just before \\end{axis})\n');
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fprintf('%% ===========================================================\n\n');
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for i = 1:length(baud)
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bx = baud(i);
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by = netrate(i);
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key = codes(i);
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M_val = Mvals(i);
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% --- PLACEMENT LOGIC ---
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if M_val == 8
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% PAM-8: Place Top-Left
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% 'south east' anchor means the text's bottom-right corner touches the coordinate
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% shift moves it slightly up and left to clear the marker
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anchorStr = 'south east';
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shiftStr = 'shift={(-3pt, 3pt)}';
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else
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% Others: Place Bottom-Right
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% 'north west' anchor means the text's top-left corner touches the coordinate
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% shift moves it slightly down and right
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anchorStr = 'north west';
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shiftStr = 'shift={(3pt, -3pt)}';
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end
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% --- PRINT COMMAND ---
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% Uses \node directly at the coordinate (axis cs:...)
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fprintf('\\node[anchor=%s, %s, font=\\tiny, fill=white, inner sep=1pt] at (axis cs:%.2f, %.2f) {\\cite{%s}};\n', ...
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anchorStr, shiftStr, bx, by, key);
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end
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fprintf('\n')
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%% === EXPORT ===
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outfile = 'C:\Users\Silas\Documents\latex\JLT_400G copy\media\matlab2tikz\highspeedresults.tikz';
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outfile = 'C:\Users\Silas\Documents\latex\JLT_400G_submission\media\matlab2tikz\highspeedresults_test.tikz';
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matlab2tikz(outfile, ...
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'width','\fwidth', ...
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'height','\fheight', ...
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@@ -25,10 +25,10 @@ h = abs([0.3 0.9 0.3]); h = h/norm(h);
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% h = [1 -1.67085330039878 1.17918163282514 -0.805210559745616 0.571564213123367 -0.296337147529674 0.00649773445209780 0.0854177610195952 -0.0576009020965258 0.0520994427061551 -0.0624586034913656 0.0553280962699552 -0.00705582559925755 -0.0336399056707792 0.0706903719452810 -0.0334124287931977 0.0131699455037966 0.0587431373842994 -0.0515902976066452 0.00647904355473619 0.0137506750904990 -0.0547974515885928 0.00994735499340592 -0.0135513582534086 -0.00463322575007739 0.0277311946101940];
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% h = h/norm(h);
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symbols_filt = Symbols.filter(1,h);
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symbols_filt = Symbols.filter(h,1);
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symbols_noi = symbols_filt;
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symbols_noi.signal = awgn(symbols_filt.signal,SNR_dB,'measured');
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symbols_noi.spectrum;
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symbols_noi.spectrum();
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% --- Generate all parameter pairs
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[O,D] = ndgrid(order_range, delta_range);
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@@ -42,7 +42,7 @@ ce_vec = nan(size(pairs,1),1);
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ce_training = nan(size(pairs,1),training_len);
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% --- Parallel loop over parameter pairs
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parfor k = 1:size(pairs,1)
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for k = 1:size(pairs,1)
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order_k = pairs(k,1);
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delta_k = pairs(k,2);
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@@ -55,7 +55,7 @@ parfor k = 1:size(pairs,1)
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try
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ml = ML_MLSE("epochs_tr",training_len,"epochs_dd",1,"len_tr",2^15, ...
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"mu_dd",0.1,"mu_tr",0.1,"order",order_k,"sps",1, ...
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"traceback_depth",128,"L",2,"delta",delta_k,"adaptive_mu",0);
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"traceback_depth",128,"L",3,"delta",delta_k,"adaptive_mu",0);
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[y_ml,y_ref] = ml.process(symbols_noi,Symbols);
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ref_bits = PAMmapper(M,0).demap(y_ref);
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