tom@455: % Copyright 2012, Google, Inc.
tom@455: % Author: Richard F. Lyon
tom@455: %
tom@455: % This Matlab file is part of an implementation of Lyon's cochlear model:
tom@455: % "Cascade of Asymmetric Resonators with Fast-Acting Compression"
tom@455: % to supplement Lyon's upcoming book "Human and Machine Hearing"
tom@455: %
tom@455: % Licensed under the Apache License, Version 2.0 (the "License");
tom@455: % you may not use this file except in compliance with the License.
tom@455: % You may obtain a copy of the License at
tom@455: %
tom@455: %     http://www.apache.org/licenses/LICENSE-2.0
tom@455: %
tom@455: % Unless required by applicable law or agreed to in writing, software
tom@455: % distributed under the License is distributed on an "AS IS" BASIS,
tom@455: % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
tom@455: % See the License for the specific language governing permissions and
tom@455: % limitations under the License.
tom@455: 
tom@455: %% Test/demo hacking for CARFAC Matlab stuff:
tom@455: 
tom@455: clear variables
tom@455: 
tom@455: %%
dicklyon@504: 
dicklyon@498: use_plan_file = 1;
dicklyon@504: dB_list = -60:20:40
dicklyon@504: 
dicklyon@475: if use_plan_file
dicklyon@475:   
dicklyon@475:   file_signal = wavread('plan.wav');
dicklyon@502:   %   file_signal = file_signal(8100+(1:20000));  % trim for a faster test
dicklyon@502:   file_signal = file_signal(10000+(1:10000));  % trim for a faster test
dicklyon@475:   
dicklyon@475: else
dicklyon@504:   flist = 1400 + (1:4)*200;
dicklyon@504:   alist = [1, 1, 1, 1];
dicklyon@502:   sine_signal = 0;
dicklyon@504:   times = (0:9999)' / 22050;
dicklyon@502:   for fno = 1:length(flist)
dicklyon@502:     sine_signal = sine_signal + alist(fno)*sin(flist(fno)*2*pi*times);
dicklyon@502:   end
dicklyon@502:   growth_power = 0;  % use 0 for flat, 4 or more for near exponential
dicklyon@502:   file_signal = 1.0 * (sine_signal .* (times/max(times)).^growth_power);
dicklyon@475: end
tom@455: 
tom@455: % make a long test signal by repeating at different levels:
dicklyon@502: % dB = dB_list(1);
dicklyon@502: % test_signal =  10^(dB/20)* file_signal(1:4000) % lead-in [];
dicklyon@502: test_signal = [];
dicklyon@502: for dB =  dB_list
tom@455:   test_signal = [test_signal; file_signal * 10^(dB/20)];
tom@455: end
tom@455: 
tom@455: 
tom@455: %% Run mono, then stereo test:
tom@455: 
tom@455: agc_plot_fig_num = 6;
tom@455: 
dicklyon@504: for n_ears = 1:2
dicklyon@500:   
dicklyon@500:   CF_struct = CARFAC_Design(n_ears);  % default design
dicklyon@502:   
dicklyon@498:   if n_ears == 2
dicklyon@498:     % For the 2-channel pass, add a silent second channel:
dicklyon@498:     test_signal = [test_signal, zeros(size(test_signal))];
dicklyon@498:   end
dicklyon@498:   
dicklyon@500:   CF_struct = CARFAC_Init(CF_struct);
dicklyon@502:   
dicklyon@502:   [CF_struct, nap_decim, nap, BM, ohc, agc] = CARFAC_Run(CF_struct, test_signal, ...
dicklyon@473:     agc_plot_fig_num);
dicklyon@502:   
dicklyon@502:   %   nap = deskew(nap);  % deskew doesn't make much difference
dicklyon@502:   
dicklyon@502:   %   dB_BM = 10/log(10) * log(filter(1, [1, -0.995], BM(:, 20:50, :).^2));
dicklyon@504:   sm_BM = filter(1, [1, -0.995], BM(:, :, :).^2);
dicklyon@502:   
dicklyon@498:   % only ear 1:
dicklyon@504:   smoothed = sm_BM(100:100:end, :, 1);
dicklyon@504:   MultiScaleSmooth(10/log(10) * log(smoothed), 1);
dicklyon@502:   
dicklyon@504:  
dicklyon@473:   % Display results for 1 or 2 ears:
dicklyon@473:   for ear = 1:n_ears
dicklyon@473:     smooth_nap = nap_decim(:, :, ear);
dicklyon@473:     if n_ears == 1
tom@455:       mono_max = max(smooth_nap(:));
tom@455:     end
dicklyon@473:     figure(3 + ear + n_ears)  % Makes figures 5, ...
tom@455:     image(63 * ((max(0, smooth_nap)/mono_max)' .^ 0.5))
tom@455:     title('smooth nap from nap decim')
tom@455:     colormap(1 - gray);
tom@455:   end
dicklyon@502:   
tom@455:   % Show resulting data, even though M-Lint complains:
tom@455:   CF_struct
dicklyon@502:   CF_struct.ears(1).CAR_state
dicklyon@502:   CF_struct.ears(1).AGC_state
tom@455:   min_max_decim = [min(nap_decim(:)), max(nap_decim(:))]
dicklyon@502:   
tom@455: end
tom@455: 
tom@455: % Expected result:  Figure 3 looks like figure 2, a tiny bit darker.
tom@455: % and figure 4 is empty (all zero)