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Zürich data Refactoring/ Organization
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91
projects/Messung_Zürich/check_ber_to_ndr_plot.m
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91
projects/Messung_Zürich/check_ber_to_ndr_plot.m
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% load data points from BER plot C:/Users/Silas/Documents/MATLAB/imdd_simulation/Projects/Messung_Zürich/BER_Silas.fig
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% load data points from NDR plot C:/Users/Silas/Documents/MATLAB/imdd_simulation/Projects/Messung_Zürich/NDR_Silas.fig
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% use Functions/Metrics/TransmissionPerformance.m to calculate the NDR from the BER values
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% 09. April 2026 - während plasmonic JLT review prozess
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ber = get_xy_from_fig("C:/Users/Silas/Documents/MATLAB/imdd_simulation/Projects/Messung_Zürich/BER_Silas.fig");
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tp = TransmissionPerformance;
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% 1 = PAM2 VNLE ;3=PAM2 DBt
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% 2 = PAM4 VNLE ;4 PAM4 DBt
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for n = 1:4
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bps = 2 - mod(n,2);
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figure(3);hold on
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plot(ber(n).X,ber(n).Y,'DisplayName','ber')
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set(gca,'YScale','log');
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xlim([96,256]);
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ylim([1e-4, 0.5]);
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beautifyBERplot;
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ndr = tp.calculateNetRate(ber(n).X.*bps,'BER',ber(n).Y);
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figure(4); hold on
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plot(ber(n).X,ndr.STAIR.NetRate,'DisplayName','ber')
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xlim([96,256]);
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ylim([100,330]);
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beautifyBERplot;
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figure(5); hold on
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plot(ber(n).X,ndr.KP4_hamming.NetRate,'DisplayName','ber')
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xlim([96,256]);
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ylim([100,330]);
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beautifyBERplot;
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figure(6); hold on
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plot(ber(n).X,ndr.O_FEC.NetRate,'DisplayName','ber')
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xlim([96,256]);
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ylim([100,330]);
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beautifyBERplot;
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end
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function data = get_xy_from_fig(figPath)
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%GET_XY_FROM_FIG Silently open a .fig file and extract X/Y data
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%
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% Usage:
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% data = get_xy_from_fig("C:\path\to\myfigure.fig");
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%
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% Output:
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% data(k).Type
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% data(k).DisplayName
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% data(k).X
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% data(k).Y
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if ~isfile(figPath)
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error('File not found: %s', figPath);
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end
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% Make sure figures stay invisible
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oldVisible = get(groot, 'DefaultFigureVisible');
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cleanupVisible = onCleanup(@() set(groot, 'DefaultFigureVisible', oldVisible));
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set(groot, 'DefaultFigureVisible', 'off');
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% Open figure invisibly
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fig = openfig(figPath, 'invisible');
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cleanupFig = onCleanup(@() close(fig));
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% Find all objects that have XData and YData
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objs = findall(fig, '-property', 'XData', '-and', '-property', 'YData');
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% Optional: reverse order so it is closer to plotting order
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objs = flipud(objs);
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data = struct('Type', {}, 'DisplayName', {}, 'X', {}, 'Y', {});
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for k = 1:numel(objs)
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data(k).Type = get(objs(k), 'Type');
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if isprop(objs(k), 'DisplayName')
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data(k).DisplayName = get(objs(k), 'DisplayName');
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else
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data(k).DisplayName = '';
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end
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data(k).X = get(objs(k), 'XData');
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data(k).Y = get(objs(k), 'YData');
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end
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end
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