Files
imdd_silas/projects/Messung_Zürich/check_ber_to_ndr_plot.m
Silas Oettinghaus 904eee0604 PR filter viz
Zürich data
Refactoring/ Organization
2026-04-21 15:24:01 +02:00

91 lines
2.5 KiB
Matlab

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