tom@516: % Copyright 2012, Google, Inc.
tom@516: % Author: Richard F. Lyon
tom@516: %
tom@516: % This Matlab file is part of an implementation of Lyon's cochlear model:
tom@516: % "Cascade of Asymmetric Resonators with Fast-Acting Compression"
tom@516: % to supplement Lyon's upcoming book "Human and Machine Hearing"
tom@516: %
tom@516: % Licensed under the Apache License, Version 2.0 (the "License");
tom@516: % you may not use this file except in compliance with the License.
tom@516: % You may obtain a copy of the License at
tom@516: %
tom@516: %     http://www.apache.org/licenses/LICENSE-2.0
tom@516: %
tom@516: % Unless required by applicable law or agreed to in writing, software
tom@516: % distributed under the License is distributed on an "AS IS" BASIS,
tom@516: % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
tom@516: % See the License for the specific language governing permissions and
tom@516: % limitations under the License.
tom@516: 
tom@516: %% Test/demo hacking for CARFAC Matlab stuff:
tom@516: 
tom@516: clear variables
tom@516: 
tom@516: %%
tom@516: file_signal = wavread('plan.wav');
tom@516: 
tom@516: % file_signal = file_signal(9000+(1:10000));  % trim for a faster test
tom@516: file_signal = file_signal(9300+(1:5000));  % trim for a faster test
tom@516: 
tom@516: % repeat with negated signal to compare responses:
dicklyon@517: % file_signal = [file_signal; -file_signal];
tom@516: 
tom@516: % make a long test signal by repeating at different levels:
tom@516: test_signal = [];
dicklyon@517: for dB = -40:20:0  % -60:20:40  % -80:20:60
tom@516:   test_signal = [test_signal; file_signal * 10^(dB/20)];
tom@516: end
tom@516: 
tom@516: %%
tom@516: CF_struct = CARFAC_Design;  % default design
tom@516: 
tom@516: %% Run mono, then stereo test:
tom@516: 
tom@516: agc_plot_fig_num = 6;
tom@516: 
dicklyon@517: for n_mics = 1:2
tom@516:   CF_struct = CARFAC_Init(CF_struct, n_mics);
tom@516: 
tom@516:   [nap, CF_struct, nap_decim] = CARFAC_Run(CF_struct, ...
tom@516:     test_signal, agc_plot_fig_num);
tom@516: 
tom@516: %   nap = deskew(nap);  % deskew doesn't make much difference
tom@516: 
dicklyon@517:   if n_mics == 1  % because this hack doesn't work for binarual yet
dicklyon@517:     MultiScaleSmooth(nap_decim, 10);
dicklyon@517:   end
tom@516: 
tom@516: %   nap_decim = nap;
tom@516: %   nap_decim = smooth1d(nap_decim, 1);
tom@516: %   nap_decim = nap_decim(1:8:size(nap_decim, 1), :);
tom@516: 
tom@516:   % Display results for 1 or 2 mics:
tom@516:   for mic = 1:n_mics
tom@516:     smooth_nap = nap_decim(:, :, mic);
tom@516:     if n_mics == 1
tom@516:       mono_max = max(smooth_nap(:));
tom@516:     end
tom@516:     figure(3 + mic + n_mics)  % Makes figures 5, ...
tom@516:     image(63 * ((max(0, smooth_nap)/mono_max)' .^ 0.5))
tom@516:     title('smooth nap from nap decim')
tom@516:     colormap(1 - gray);
tom@516:   end
tom@516: 
tom@516:   % Show resulting data, even though M-Lint complains:
tom@516:   CF_struct
tom@516:   CF_struct.k_mod_decim
tom@516:   CF_struct.filter_state
tom@516:   CF_struct.AGC_state
tom@516:   min_max = [min(nap(:)), max(nap(:))]
tom@516:   min_max_decim = [min(nap_decim(:)), max(nap_decim(:))]
tom@516: 
tom@516:   % For the 2-channel pass, add a silent second channel:
tom@516:   test_signal = [test_signal, zeros(size(test_signal))];
tom@516: end
tom@516: 
tom@516: % Expected result:  Figure 3 looks like figure 2, a tiny bit darker.
tom@516: % and figure 4 is empty (all zero)