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Add CAR biquad design to other/car/matlab #15

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73 changes: 73 additions & 0 deletions other/car/matlab/CAR_Design.m
Original file line number Diff line number Diff line change
@@ -0,0 +1,73 @@
% Copyright 2023 The CARFAC Authors. All Rights Reserved.
% Author: Matt R. Flax, setup taken from Richard F. Lyon's CARFAC_Design.m
%
% This file is part of an implementation of Lyon's cochlear model:
% "Cascade of Asymmetric Resonators with Fast-Acting Compression"
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writing, software
% distributed under the License is distributed on an "AS IS" BASIS,
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
% See the License for the specific language governing permissions and
% limitations under the License.

function [CF, b, a] = CAR_Design(n_ears, fs, CF_CAR_params)
% function CF = CAR_Design(n_ears, fs, CF_CAR_params)
%
% This function designs the linear open loop CAR (Cascade of Asymmetric
% Resonators) as biquadratic filters.
% That is, it take bundles of parameters and
% computes all the filter coefficients needed to run it.
%
% fs is sample rate (per second)
% CF_CAR_params bundles all the pole-zero filter cascade parameters

if nargin < 1
n_ears = 1;
end

if nargin < 2
fs = 22050;
end

if nargin < 3
CF_CAR_params = struct( ...
'velocity_scale', 0.1, ... % for the velocity nonlinearity
'v_offset', 0.04, ... % offset gives a quadratic part
'min_zeta', 0.10, ... % minimum damping factor in mid-freq channels
'max_zeta', 0.35, ... % maximum damping factor in mid-freq channels
'first_pole_theta', 0.85*pi, ...
'zero_ratio', sqrt(2), ... % how far zero is above pole
'high_f_damping_compression', 0.5, ... % 0 to 1 to compress zeta
'ERB_per_step', 0.5, ... % assume G&M's ERB formula
'min_pole_Hz', 30, ...
'ERB_break_freq', 165.3, ... % 165.3 is Greenwood map's break freq.
'ERB_Q', 1000/(24.7*4.37)); % Glasberg and Moore's high-cf ratio
end

addpath ../../../matlab/
CF = CARFAC_Design(n_ears, fs, CF_CAR_params);
CF = CARFAC_Init(CF);

for ear=1:CF.n_ears
% This method
CAR_coeffs = CF.ears(ear).CAR_coeffs;
r1=CAR_coeffs.r1_coeffs;
a0=CAR_coeffs.a0_coeffs;
h=CAR_coeffs.h_coeffs;
g=CAR_coeffs.g0_coeffs;
c=CAR_coeffs.c0_coeffs;
zB = CF.ears(ear).CAR_state.zB_memory; % current delta-r from undamping
r = r1 + zB;
b(:, :, ear)=g.*[ones(CF.n_ch, 1) (h.*r.*c - 2*r.*a0) (r.^2.*(c.^2 + a0.^2))];
a(:, :, ear)=[ones(CF.n_ch, 1) -2*r.*a0 r.^2.*(c.^2 + a0.^2)];

% This method uses CARFAC_Rational_Functions to generate the IIR filter coefficients
% CARFAC_Rational_Functions is found in carfac/matlab/CARFAC_Transfer_Functions.m
% [b(:,:,ear), a(:,:,ear), g(:,ear)] = CARFAC_Rational_Functions(CF, ear);
end
123 changes: 123 additions & 0 deletions other/car/matlab/CAR_Test.m
Original file line number Diff line number Diff line change
@@ -0,0 +1,123 @@
% Copyright 2012 The CARFAC Authors. All Rights Reserved.
% Author Richard F. Lyon
%
% This file is part of an implementation of Lyon's cochlear model:
% "Cascade of Asymmetric Resonators with Fast-Acting Compression"
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writing, software
% distributed under the License is distributed on an "AS IS" BASIS,
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
% See the License for the specific language governing permissions and
% limitations under the License.

function status = CAR_Test(do_plots)
% CARFAC_TEST returns status = 0 if all tests pass; nonzero if fail,
% and prints messages about tests and failures. Argument do_plots is
% optional, defaults to 1 (as when executing the file as a script).
% Run CARFAC_Test(0) to suppress plotting.

if nargin < 1, do_plots = 1; end % Produce plots by default.

% Run tests, and see if any fail (have nonzero status):
status = 0; % 0 for OK so far; 1 for test fail; 2 for error.
status = status | test_CAR_biquad(do_plots);
report_status(status, 'CAR_Test', 1)
return

function status = test_CAR_biquad(do_plots)
% Test the linear open loop biquadratic implementation of the CAR filters
status = 0; % start in the passing state
addpath ../../../matlab/
n_ears=1;
fs=22050;
[~, b, a]=CAR_Design(n_ears, fs);
b=b(:, :, 1); % only look at the first ear for now
a=a(:, :, 1);
M=size(b, 1);
N=fs; % take a one second response
% find the impulse response
x=zeros(N, 1);
x(1)=1;
y(:, 1)=filter(b(1, :), a(1, :), x);
for m=2:M % ripple through the cascade
y(:, m)=filter(b(m, :), a(m, :), y(:, m-1));
end

CF=CARFAC_Design(n_ears, fs);
CF.open_loop = 1; % For measuring impulse response.
CF.linear_car = 1; % For measuring impulse response.
CF = CARFAC_Init(CF);
[~, CF, bm_initial] = CARFAC_Run_Segment(CF, x);

if do_plots
Y=fft(y);

f=linspace(0, fs, N+1); f(end)=[];

figure(1); clf
semilogx(f, 20*log10(abs(Y))); grid on;
xlabel('f (Hz)'); ylabel('dB')
title('CAR filters')
% print -depsc /tmp/CAR.DFT.eps

Yref=fft(bm_initial);

figure(2); clf
semilogx(f,20*log10(abs(Yref))); grid on;
xlabel('f (Hz)'); ylabel('dB')
title('CARFAC reference')
% print -depsc /tmp/CARFAC.DFT.eps

figure(3); clf
semilogx(y); grid on;
xlabel('sample (n)'); ylabel('amp.')
title('CAR filters')
% print -depsc /tmp/CAR.t.eps

figure(4); clf
semilogx(bm_initial); grid on;
xlabel('sample (n)'); ylabel('amp.')
title('CARFAC filters')
% print -depsc /tmp/CARFAC.t.eps

figure(5); clf
semilogx(bm_initial-y); grid on;
xlabel('sample (n)'); ylabel('error')
title('Error between the CARFAC and biquad filters')
% print -depsc /tmp/CARFAC.CAR.error.t.eps
end

tol=1e-10;
if (rms(bm_initial - y) > tol)
status = 1; % indicate a test fail
fprintf(1, 'CAR biquad implementation is greater then %e from the cross coupled CAR implementation.\n', tol)
end

report_status(status, 'test_car')
return

function report_status(status, name, extra)
if nargin < 3, extra = 0; end
if extra
if status
disp(['FAIL ' name '; at least one test failed.'])
else
disp(['PASS ' name '; all tests passed.'])
end
else
if status
disp(['FAIL ' name])
if status > 1
disp('(status > 1 => error in test or expected results size)')
end
else
disp(['PASS ' name])
end
end
return