Mercurial > hg > aimc
view trunk/matlab/bmm/carfac/CARFAC_hacking.m @ 690:76f749d29b48
Fix memory leak in CARFAC.
Also get rid of most uses of auto, which tend to hurt readability
unless the type name is particularly long, especially when it masks
pointers.
author | ronw@google.com |
---|---|
date | Tue, 11 Jun 2013 21:41:53 +0000 |
parents | 2767ce76a1b0 |
children |
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% Copyright 2012 Google Inc. All Rights Reserved. % Author: Richard F. Lyon % % This Matlab file is part of an implementation of Lyon's cochlear model: % "Cascade of Asymmetric Resonators with Fast-Acting Compression" % to supplement Lyon's upcoming book "Human and Machine Hearing" % % 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. %% Test/demo hacking for CARFAC Matlab stuff: clear variables %% use_wav_file = 1; dB_list = -40; % -60:20:40 if use_wav_file wav_fn = 'plan.wav'; wav_fn file_signal = wavread(wav_fn); file_signal = file_signal(:, 1); % Mono test only. else % A tone complex. flist = 1400 + (1:4)*200; alist = [1, 1, 1, 1]; sine_signal = 0; times = (0:9999)' / 22050; for fno = 1:length(flist) sine_signal = sine_signal + alist(fno)*sin(flist(fno)*2*pi*times); end growth_power = 0; % use 0 for flat, 4 or more for near exponential file_signal = 1.0 * (sine_signal .* (times/max(times)).^growth_power); end % make a long test signal by repeating at different levels: % dB = dB_list(1); % test_signal = 10^(dB/20)* file_signal(1:4000) % lead-in []; test_signal = []; for dB = dB_list test_signal = [test_signal; file_signal * 10^(dB/20)]; end %% Run mono, then stereo test: agc_plot_fig_num = 6; for n_ears = 1:2 CF_struct = CARFAC_Design(n_ears); % default design if n_ears == 2 % For the 2-channel pass, add a silent second channel: test_signal = [test_signal, zeros(size(test_signal))]; end CF_struct = CARFAC_Init(CF_struct); [CF_struct, nap_decim, nap] = CARFAC_Run(CF_struct, test_signal, ... agc_plot_fig_num); smoothed = filter(1, [1, -0.995], nap(:, :, :)); % only ear 1: smoothed = max(0, smoothed(50:50:end, :, 1)); MultiScaleSmooth(smoothed.^0.5, 1); figure(1) starti = 0; % Adjust if you want to plot a later part. imagesc(nap(starti+(1:15000), :)'); % Display results for 1 or 2 ears: for ear = 1:n_ears smooth_nap = nap_decim(:, :, ear); if n_ears == 1 mono_max = max(smooth_nap(:)); end figure(3 + ear + n_ears) % Makes figures 5, 6, 7. image(63 * ((max(0, smooth_nap)/mono_max)' .^ 0.5)) title('smooth nap from nap decim') colormap(1 - gray); end % Show resulting data, even though M-Lint complains: CF_struct CF_struct.ears(1).CAR_state CF_struct.ears(1).AGC_state min_max_decim = [min(nap_decim(:)), max(nap_decim(:))] end % Expected result: Figure 3 looks like figure 2, a tiny bit darker. % and figure 4 is empty (all zero)