257 lines
7.5 KiB
Matlab
257 lines
7.5 KiB
Matlab
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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rate = [300e9];
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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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fignum = 200;
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fig=figure(fignum);clf;
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dbmode = 0;
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% 1 - PAM 4 with preemphasis
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fp = QueryFilter();
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M = 6;
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fp.where('Runs', 'pam_level','EQUALS', M);
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fp.where('Runs', 'bitrate','EQUALS', rate);%360,390
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fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'wavelength','EQUALS', 1310);
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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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[dataTable,~] = db.queryDB(fp, database.getTableFieldNames('Runs'));
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dataTable = queryRunid(dataTable.run_id, database);
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fsym = dataTable.symbolrate;
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M = double(dataTable.pam_level);
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duob_mode = db_mode(strrep(dataTable.db_mode,'"',''));
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% Load and Sync signal data from DB
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[Tx_bits, Symbols, Scpe_cell, ~] = loadAndSyncSignalDataFromDb(dataTable, dsp_options);
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% Preprocess signal
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Scpe_sig = preprocessSignal(Scpe_cell{1}, Symbols, fsym);
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Scpe_sig.eye(fsym,M,"fignum",M*10);
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%% === EXPORT TO TIKZ ===
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% outfile = ['C:\Users\Silas\Documents\latex\JLT_400G copy\media\matlab2tikz\eye_pam_',num2str(M),'.tikz'];
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% outfile = ['C:\Users\Silas\Documents\latex\JLT_400G copy\media\matlab2tikz\vnle_optimization.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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%%
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if duob_mode == db_mode.no_db && M == 6 %only for PAM-6 and no duobinary precoding, otherwise leads to false sequence estimation
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trellexlusion = 1;
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else
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trellexlusion = 0;
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end
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mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels,'scale_mode',2,'trellis_exclusion',trellexlusion,'trellis_state_mode',3);
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len_tr = 4096*2;
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ffe_order = [50, 5, 5];
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dfe_order = [0, 0, 0];
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pf_ncoeffs = 1;
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mu_ffe = [0.0001, 0.0008, 0.001];
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mu_dfe = 0.0004;
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mu_dc = 0.005;
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dc_buffer_len = 1;
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mu_tr = 0;
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mu_dd = 0.05;
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adaption= 1;
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use_dd_mode = 1;
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ffe_order = [50, 5, 5];
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eq_ = EQ("Ne",ffe_order,"Nb",dfe_order,"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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dbt_results = duobinary_target(eq_, mlse_db_, M, Scpe_sig, Symbols, Tx_bits, ...
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"precode_mode", duob_mode, ...
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'showAnalysis', 1,...
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"postFFE", []);
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%% === FINAL FIGURE SIZE ===
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% Existing figure numbers
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figEye = 249;
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figConst = 341;
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% Find axes in the source figures
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srcAxEye = findobj(figEye, 'Type', 'axes');
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srcAxConst = findobj(figConst, 'Type', 'axes');
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% Create new combined figure
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figCombined = figure;
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t = tiledlayout(figCombined, 1, 2);
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t.TileSpacing = 'compact';
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t.Padding = 'compact';
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% ------------------------------------------------------------
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% LEFT TILE: EYE DIAGRAM
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% ------------------------------------------------------------
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ax1 = nexttile(t, 1);
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hold(ax1, 'on')
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% Copy children (images, lines, patches, hist objects, etc.)
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copyobj(srcAxEye.Children, ax1);
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% Copy labels and title
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ax1.XLabel.String = srcAxEye.XLabel.String;
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ax1.YLabel.String = srcAxEye.YLabel.String;
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ax1.Title.String = srcAxEye.Title.String;
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% Copy axis limits
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ax1.XLim = srcAxEye.XLim;
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ax1.YLim = srcAxEye.YLim;
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ax1.YDir = srcAxEye.YDir;
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% Copy ticks + labels EXACTLY (including remapped/scaled ones)
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ax1.XTick = srcAxEye.XTick;
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ax1.XTickLabel = srcAxEye.XTickLabel;
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ax1.YTick = srcAxEye.YTick;
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ax1.YTickLabel = srcAxEye.YTickLabel;
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% Copy colormap + clim (important for density eye)
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colormap(ax1, colormap(srcAxEye.Parent));
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ax1.CLim = srcAxEye.CLim;
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% Copy any style props that matter
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ax1.TickDir = srcAxEye.TickDir;
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ax1.TickLength = srcAxEye.TickLength;
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ax1.FontSize = srcAxEye.FontSize;
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ax1.Box = srcAxEye.Box;
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grid(ax1,'on');
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% ------------------------------------------------------------
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% RIGHT TILE: CONSTELLATION HISTOGRAM
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% ------------------------------------------------------------
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ax2 = nexttile(t, 2);
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hold(ax2, 'on')
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copyobj(srcAxConst.Children, ax2);
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% Copy labels and title
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ax2.XLabel.String = srcAxConst.XLabel.String;
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ax2.YLabel.String = srcAxConst.YLabel.String;
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ax2.Title.String = srcAxConst.Title.String;
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% The histogram uses the same y-axis as the eye
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% Extract mapping from eye
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rawTicks = ax1.YTick;
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rawLabelsCell = ax1.YTickLabel;
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trueVoltages = str2double(rawLabelsCell);
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% Apply true voltages to the histogram axis
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ax2.XTick = flip(trueVoltages);
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ax2.XTickLabel = flip(rawLabelsCell);
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% Set histogram y-limits to match the actual voltages
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ax2.XLim = [min(trueVoltages) max(trueVoltages)];
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% Ensure eye diagram prints the same (we *do not* touch ax1.YLim)
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ax1.XTickLabel = rawLabelsCell;
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% Copy colormap (your histogram uses same palette)
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colormap(ax2, colormap(srcAxConst.Parent));
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% Style properties
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ax2.TickDir = srcAxConst.TickDir;
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ax2.TickLength = srcAxConst.TickLength;
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ax2.FontSize = srcAxConst.FontSize;
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ax2.Box = srcAxConst.Box;
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grid(ax2,'on');
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% ============================================================
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% remove right y-axis completely
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% ============================================================
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ax2.XAxis.Visible = 'off'; % hides ticks + labels + axis line
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% BUT we still keep the YTick positions internally for alignment:
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% ax2.YTick = <values already set earlier> ;
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% ============================================================
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% minimize distance between the two plots
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% ============================================================
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t.TileSpacing = 'none'; % no space between tiles
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t.Padding = 'none'; % no outer padding
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% Also reduce internal padding for each axis
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ax1.Position(3) = ax1.Position(3) + 0.02; % widen eye a bit
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ax2.Position(1) = ax2.Position(1) - 0.02; % pull histogram closer
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% Keep left axis grid visible
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ax2.YGrid = 'off';
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%
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% =====================================================================
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% FINAL POLISHING: unified visual style
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% =======================================================================
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% --- unified font size ---
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FS = 12;
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set([ax1 ax2], 'FontSize', FS);
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% --- unified axis line width (outline stroke thickness) ---
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LW = 1.0;
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set([ax1 ax2], 'LineWidth', LW);
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% --- unified tick length ---
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TL = [.015 .015];
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set([ax1 ax2], 'TickLength', TL);
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% --- unified grid style ---
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set([ax1 ax2], 'XGrid', 'on', 'YGrid', 'on');
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set([ax1 ax2], 'GridLineStyle', '--');
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set([ax1 ax2], 'GridAlpha', 0.2);
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% --- remove right y-axis ticks and labels ---
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ax2.YAxis.Visible = 'off';
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% --- copy colormap + CLim from the eye to histogram (synchronize look) ---
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colormap(ax1, colormap(srcAxEye.Parent));
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colormap(ax2, colormap(srcAxEye.Parent));
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ax2.CLim = ax1.CLim;
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% --- minimal spacing between tiles ---
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t.TileSpacing = 'none';
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t.Padding = 'none';
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% --- pull the panels together (touching boundary effect) ---
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pos1 = ax1.Position;
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pos2 = ax2.Position;
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% Shift histogram left until the outlines touch
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pos2(1) = pos1(1) + pos1(3) - 0.002; % 0.002 = fine overlap control
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ax2.Position = pos2;
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% Expand histogram slightly, remove white band
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pos2 = ax2.Position;
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pos2(3) = pos2(3) + 0.01;
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ax2.Position = pos2;
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% Ensure the left plot stays correct after the move
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ax1.Position = pos1;
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% --- enforce same visible outline ---
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% For ax2, create a fake left spine (since YAxis is hidden)
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ax2.Box = 'on'; % keep outline but no ticks on the right
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ax1.Box = 'on';
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ax2.View = [90 -90]; |