Mercurial > hg > aimc
view trunk/matlab/bmm/carfac/CARFAC_Detect.m @ 532:9b478420cbe2
Added a calculation (last plot) of the group delay. The previous check in fixed a couple of bugs.
author | alan.strelzoff |
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date | Sun, 11 Mar 2012 22:45:36 +0000 |
parents | 68c15d43fcc8 |
children | 101289a936be |
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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 conductance = CARFAC_Detect(x_in) % function conductance = CARFAC_detect(x_in) % An IHC-like sigmoidal detection nonlinearity for the CARFAC. % Resulting conductance is in about [0...1.3405] a = 0.175; % offset of low-end tail into neg x territory % this parameter is adjusted for the book, to make the 20% DC % response threshold at 0.1 set = x_in > -a; z = x_in(set) + a; % zero is the final answer for many points: conductance = zeros(size(x_in)); conductance(set) = z.^3 ./ (z.^3 + z.^2 + 0.1); %% other things I tried: % % % zero is the final answer for many points: % conductance = zeros(size(x_in)); % % order = 4; % 3 is a little cheaper; 4 has continuous second deriv. % % % thresholds and terms involving just a, b, s are scalar ops; x are vectors % % switch order % case 3 % a = 0.15; % offset of low-end tail into neg x territory % b = 1; % 0.44; % width of poly segment % slope = 0.7; % % threshold1 = -a; % threshold2 = b - a; % % set2 = x_in > threshold2; % set1 = x_in > threshold1 & ~set2; % % s = slope/(2*b - 3/2*b^2); % factor to make slope at breakpoint % t = s * (b^2 - (b^3) / 2); % % x = x_in(set1) - threshold1; % conductance(set1) = s * x .* (x - x .* x / 2); % x.^2 - 0.5x.^3 % % x = x_in(set2) - threshold2; % conductance(set2) = t + slope * x ./ (1 + x); % % % case 4 % a = 0.24; % offset of low-end tail into neg x territory % b = 0.57; % width of poly segment; 0.5 to end at zero curvature, % a = 0.18; % offset of low-end tail into neg x territory % b = 0.57; % width of poly segment; 0.5 to end at zero curvature, % % 0.57 to approx. match curvature of the upper segment. % threshold1 = -a; % threshold2 = b - a; % % % set2 = x_in > threshold2; % set1 = x_in > threshold1 & ~set2; % % s = 1/(3*b^2 - 4*b^3); % factor to make slope 1 at breakpoint % t = s * (b^3 - b^4); % % x = x_in(set1) - threshold1; % conductance(set1) = s * x .* x .* (x - x .* x); % x.^3 - x.^4 % % x = x_in(set2) - threshold2; % conductance(set2) = t + x ./ (1 + x); % % end %