Mercurial > hg > aimc
view trunk/matlab/bmm/carfac/MultiScaleSmooth.m @ 522:c3c85000f804
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author | alan.strelzoff |
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date | Mon, 27 Feb 2012 21:50:20 +0000 |
parents | 68c15d43fcc8 |
children | 2b96cb7ea4f7 |
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% Copyright 2012, Google, Inc. % 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. function MultiScaleSmooth(waves, n_scales) % function MultiScaleSmooth(waves, n_scales) % % Let's take columns as waveforms, and smooth them to different scales; % these inputs can be carfac NAPs, for example, and the peaks of the % smoothed versions can be used as trigger events, even tracking back % to less-smoothed versions. % And we'll deciamte 2:1 at every other smoothing. % % Until we decide what we want, we'll just plot things, one plot per scale. fig_offset1 = 10; fig_offset2 = 30; fig_offset3 = 50; if nargin < 2 n_scales = 20; end smoothed = waves; for scale_no = 1:n_scales if mod(scale_no, 2) == 1 newsmoothed = filter([1, 1]/2, 1, smoothed); diffsmoothed = max(0, smoothed - newsmoothed); smoothed = newsmoothed; else newsmoothed = filter([1, 2, 1]/4, 1, smoothed); diffsmoothed = max(0, smoothed - newsmoothed); smoothed = newsmoothed(1:2:end, :); end figure(scale_no + fig_offset1) imagesc(smoothed') figure(scale_no + fig_offset2) plot(mean(smoothed, 2)); drawnow pause(1) end function waves = deskew(waves) for col = 1:size(waves, 2) waves(1:(end-col+1), col) = waves(col:end, col); end