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Add regression test cases for IIR filter (#1429)
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test/manual/iir_filter/1415_the-nervous-filter/.gitattributes
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*.ogg filter=lfs diff=lfs merge=lfs -text | ||
*.flac filter=lfs diff=lfs merge=lfs -text | ||
*.wav filter=lfs diff=lfs merge=lfs -text | ||
*.sf2 filter=lfs diff=lfs merge=lfs -text |
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test/manual/iir_filter/1415_the-nervous-filter/The Nervous Filter trimmed.mid
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test/manual/iir_filter/1415_the-nervous-filter/The Nervous Filter trimmed.ogg
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test/manual/iir_filter/1417_filter-envelope-noise/.gitattributes
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filter-envelope-noise-1345[[:space:]]reverted.flac filter=lfs diff=lfs merge=lfs -text | ||
filter-envelope-noise-FluidSynth[[:space:]]2.4.flac filter=lfs diff=lfs merge=lfs -text | ||
filter-envelope-noise.mid filter=lfs diff=lfs merge=lfs -text | ||
*.flac filter=lfs diff=lfs merge=lfs -text | ||
*.sf2 filter=lfs diff=lfs merge=lfs -text |
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test/manual/iir_filter/1417_filter-envelope-noise/filter envelope-noise-Roland SC8820.flac
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test/manual/iir_filter/1417_filter-envelope-noise/filter-envelope-noise-FluidSynth 2.4.flac
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test/manual/iir_filter/1424_clicks-on-ModEnv-FilterFc-change/.gitattributes
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echo_drops.sf2 filter=lfs diff=lfs merge=lfs -text |
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test/manual/iir_filter/1427_high-Q-note-cutoff/.gitattributes
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high_Q_note_cutoff_test.sf2 filter=lfs diff=lfs merge=lfs -text | ||
fluidsynth_iir-tests.flac filter=lfs diff=lfs merge=lfs -text | ||
high_Q_note_cutoff_test.mid filter=lfs diff=lfs merge=lfs -text |
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test/manual/iir_filter/1427_high-Q-note-cutoff/fluidsynth_iir-tests.flac
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test/manual/iir_filter/1427_high-Q-note-cutoff/high_Q_note_cutoff_test.sf2
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# | ||
# This Matlab script implements an interactive Bode plot of fluidsynth's IIR filter. | ||
# To run it, just call interactive_biquad_lowpass() and a window will open up, allowing | ||
# you to adjust the cutoff frequency and Q. | ||
# Note that Q is in linear range here! | ||
# | ||
function interactive_biquad_lowpass() | ||
% Initial values | ||
f_c = 1000; % Initial cutoff frequency in Hz | ||
Q = 0.707; % Initial quality factor | ||
f_s = 48000; % Sampling frequency in Hz | ||
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% Create the figure | ||
hFig = figure('Name', 'Interactive Biquad Lowpass Filter', 'NumberTitle', 'off'); | ||
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% Create axes for the magnitude and phase plots | ||
hAxesMag = subplot(2, 1, 1, 'Parent', hFig); | ||
hAxesPhase = subplot(2, 1, 2, 'Parent', hFig); | ||
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% Plot the initial response | ||
plot_response(hAxesMag, hAxesPhase, f_c, Q, f_s); | ||
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% Create slider for cutoff frequency | ||
uicontrol('Style', 'text', 'Position', [20 20 150 20], 'String', 'Cutoff Frequency (Hz)'); | ||
hSliderFc = uicontrol('Style', 'slider', 'Min', 100, 'Max', 20000, 'Value', f_c, ... | ||
'Position', [20 40 300 20]); | ||
hTextFc = uicontrol('Style', 'text', 'Position', [330 40 50 20], 'String', num2str(f_c)); | ||
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% Create slider for quality factor | ||
uicontrol('Style', 'text', 'Position', [20 80 150 20], 'String', 'Quality Factor (Q)'); | ||
hSliderQ = uicontrol('Style', 'slider', 'Min', 0.1, 'Max', 100, 'Value', Q, ... | ||
'Position', [20 100 300 20]); | ||
hTextQ = uicontrol('Style', 'text', 'Position', [330 100 50 20], 'String', num2str(Q)); | ||
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% Add listeners for both sliders | ||
addlistener(hSliderFc, 'Value', 'PreSet', @(src, event) update_plot(hAxesMag, hAxesPhase, hSliderFc, hSliderQ, f_s, hTextFc, hTextQ)); | ||
addlistener(hSliderQ, 'Value', 'PreSet', @(src, event) update_plot(hAxesMag, hAxesPhase, hSliderFc, hSliderQ, f_s, hTextFc, hTextQ)); | ||
end | ||
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function update_plot(hAxesMag, hAxesPhase, hSliderFc, hSliderQ, f_s, hTextFc, hTextQ) | ||
% Get the current values from the sliders | ||
f_c = get(hSliderFc, 'Value'); | ||
Q = get(hSliderQ, 'Value'); | ||
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% Update the text displays | ||
set(hTextFc, 'String', num2str(f_c, '%.1f')); % Display cutoff frequency | ||
set(hTextQ, 'String', num2str(Q, '%.2f')); % Display quality factor | ||
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% Update the plot with the new values | ||
plot_response(hAxesMag, hAxesPhase, f_c, Q, f_s); | ||
end | ||
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function plot_response(hAxesMag, hAxesPhase, f_c, Q, f_s) | ||
% Design the biquad lowpass filter | ||
w0 = 2 * pi * f_c / f_s; | ||
alpha = sin(w0) / (2 * Q); | ||
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b0 = (1 - cos(w0)) / 2; | ||
b1 = 1 - cos(w0); | ||
b2 = (1 - cos(w0)) / 2; | ||
a0 = 1 + alpha; | ||
a1 = -2 * cos(w0); | ||
a2 = 1 - alpha; | ||
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% Normalize coefficients | ||
b = [b0 / a0, b1 / a0, b2 / a0]; | ||
a = [1, a1 / a0, a2 / a0]; | ||
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% Compute the frequency response | ||
[h, w] = freqz(b, a, 1024, f_s); | ||
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% Clear the axes and plot the new response | ||
cla(hAxesMag); | ||
plot(hAxesMag, w, 20*log10(abs(h))); | ||
title(hAxesMag, 'Magnitude Response'); | ||
xlabel(hAxesMag, 'Frequency (Hz)'); | ||
ylabel(hAxesMag, 'Magnitude (dB)'); | ||
grid(hAxesMag, 'on'); | ||
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cla(hAxesPhase); | ||
plot(hAxesPhase, w, angle(h) * (180/pi)); | ||
title(hAxesPhase, 'Phase Response'); | ||
xlabel(hAxesPhase, 'Frequency (Hz)'); | ||
ylabel(hAxesPhase, 'Phase (degrees)'); | ||
grid(hAxesPhase, 'on'); | ||
end |