Files
imdd_silas/Functions/EQ_visuals/showEQNoisePSD.m
Silas Oettinghaus 5dbc48abc0 Many changes here and there. I lost track... :-(
Current work is on MLSE and SD Decoding etc. MLSE is currently not 100% working, the scalings are maybe off?!
2025-08-11 07:42:04 +02:00

49 lines
1.7 KiB
Matlab

function showEQNoisePSD(eq_noise, options)
arguments
eq_noise
options.postfilter_taps = NaN
options.fignum (1,1) double = NaN % Default to NaN if not provided
options.displayname (1,:) char = '' % Default to an empty string if not provided
options.color = [0.2157 0.4941 0.7216];
end
% Determine the figure number to use or create a new figure
if isnan(options.fignum)
fig = figure; % Create a new figure and get its handle
else
fig = figure(options.fignum); % Use the specified figure number
end
hold on
ax = gca;
% N = numel(ax.Children);
N = sum(arrayfun(@(x) strcmp(x.LineStyle, '-'), ax.Children));
cmap = linspecer(8);
options.color = cmap(mod(N, size(cmap, 1)) + 1, :);
% Ensure the figure is ready before calling spectrum
eq_noise.spectrum("displayname", options.displayname, "fignum", fig.Number, "normalizeTo0dB", 1,"color",options.color);
title('EEN')
if ~isnan(options.postfilter_taps)
% Hold on to the figure for further plotting
hold on;
% Compute the frequency response of the postfilter
[h, w] = freqz(1, options.postfilter_taps, length(eq_noise), "whole", eq_noise.fs);
h = h / max(abs(h)); % Normalize the filter response
% Adjust frequency axis to center at 0
w_ = (w - eq_noise.fs / 2);
% Plot the inverted postfilter response
plot(w_ * 1e-9, 20 * log10(fftshift(abs(h))), 'DisplayName', ['Burg Coeffs: ', num2str(round(options.postfilter_taps, 2)), ' '], 'LineWidth', 1,'Color',options.color,'LineStyle','--');
% Ensure a legend is displayed
legend('show');
end
xlim([-eq_noise.fs/2* 1e-9 eq_noise.fs/2* 1e-9]);
ylim([-15, 0]);
end