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