THE AUDITORY MODELING TOOLBOX

Applies to version: 1.0.0

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MOORE2016_COCHlEA - performs outer and middle ear filtering

Program code:

function out = moore2016_cochlea( s, filenameFilter )
%MOORE2016_COCHlEA performs outer and middle ear filtering
%
%   Input parameter:
%     s : input signal
%     filenameFilter : name of the file containing the filter coefficients
%
%   Output parameter:
%     out : filtered signal
%
%   Url: http://amtoolbox.sourceforge.net/amt-0.10.0/doc/modelstages/moore2016_cochlea.php

% Copyright (C) 2009-2020 Piotr Majdak and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 1.0.0
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program.  If not, see <http://www.gnu.org/licenses/>.


    %load([filenameFilter]);
    data = amt_load('moore2016', 'ff_32000.mat');
    vecCoefficients = data.vecCoefficients;
    out(:,1) = conv( vecCoefficients, s(:,1) );
    if ( min( size(s) ) > 1 )
        out(:,2) = conv( vecCoefficients, s(:,2) );
    else
        out(:,2) = out(:,1);
    end
    out = out((1025):(end-1024),:);
%     out = [zeros(1024,2); s; zeros(1024,2)];  % without filter
end