7085ba0931
nonlinear MLSE investigation trying hard to implment ML-based pre Equalization to find the branch metrics
39 lines
1.4 KiB
Matlab
39 lines
1.4 KiB
Matlab
function beautifyBERplot()
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% BEAUTIFYBERPLOT Enhances a BER plot for publication-quality figures.
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% Set line properties for all current plot lines
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lines = findall(gca, 'Type', 'Line');
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markers = {'o', 's', 'd', '^', 'v', '>', '<', 'p', 'h'}; % Define marker styles
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num_markers = length(markers);
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for i = 1:length(lines)
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lines(i).LineWidth = 1.3; % Thicker line width
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lines(i).LineStyle = '-'; % Solid lines for simplicity
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if string(lines(i).Marker) == "none"
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lines(i).Marker = markers{mod(i-1, num_markers) + 1}; % Assign markers cyclically
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end
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lines(i).MarkerSize = 7; % Marker size
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lines(i).MarkerFaceColor = lines(i).Color; % Use line color for marker face
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lines(i).MarkerEdgeColor = 'white';
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end
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% Change all text interpreters to LaTeX
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set(findall(gca, '-property', 'Interpreter'), 'Interpreter', 'latex');
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% Set figure background to white
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set(gcf, 'Color', 'w');
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% Set logarithmic scale for y-axis, but only if it makes sense.
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% If this is not always desired, you could condition this on the presence of lines or data.
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set(gca, 'YScale', 'log');
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% Customize grid and box appearance
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set(gca, 'Box', 'on', 'LineWidth', 0.8); % Thicker border
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grid on;
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% grid minor;
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% Adjust font size and style for better readability
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set(gca, 'FontSize', 10, 'FontName', 'Times New Roman');
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end
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