function [outsig, obj] = hohmann2002_process(obj, insig)
%hohmann2002_process Process input signal by filterbank object
% Usage: [outsig, obj] = hohmann2002_process(obj, insig);
%
% Input parameters:
% obj : An object created within the HOHMANN2002 filterbank framework by
% one of the following funtions: HOHMANN2002,
% HOHMANN2002_FILTER, HOHMANN2002_DELAY,
% HOHMANN2002_SYNTH, HOHMANN2002_MIXER.
% insig : Either a row vector containing the input signal to process, or
% a matrix containing different input signals for the different
% frequency bands. Different rows correspond to different filter bands,
% while different colums correspond to different times.
%
% Output parameters:
% outsig : A matrix containing the processed output signals. The
% rows correspond to the filter bands.
% obj : The original object with updated filter states.
%
% See also: exp_hohmann2002 demo_hohmann2002
%
% References:
% V. Hohmann. Frequency analysis and synthesis using a gammatone
% filterbank. Acta Acustica united with Acoustica, 88(3):433--442, 2002.
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.10.0/doc/modelstages/hohmann2002_process.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/>.
%
% author : Universitaet Oldenburg, tp (Jan 2002, Jan, Sep 2003, Nov 2006, Jan 2007)
% Adapted to AMT (PM, Jan 2016) from function gfb_*_process
if ~isfield(obj,'type'), error('Type of the object missing'); end
switch(obj.type)
case 'gfb_Filter'
factor = obj.normalization_factor;
% for compatibility of the filter state with the MEX extension, we
% have to multiply the filter state with the filter coefficient before the
% call to filter:
filter_state = obj.state * obj.coefficient;
for i = 1:obj.gamma_order
[insig, filter_state(i)] = ...
filter(factor, [1, -obj.coefficient], ...
insig, filter_state(i));
factor = 1;
end
outsig = insig;
% for compatibility of the filter state with the MEX extension, we
% have to divide the filter state by the filter coefficient after the
% call to filter:
obj.state = filter_state / obj.coefficient;
case 'gfb_analyzer'
if (obj.fast)
% use matlab extension for fast computation.
% [outsig, obj] = gfb_analyzer_fprocess(obj, insig);
warning('fast computation not available');
end
number_of_bands = length(obj.center_frequencies_hz);
outsig = zeros(number_of_bands, size(insig,2));
for band = 1:number_of_bands
[outsig(band,:), obj.filters(band)] = hohmann2002_process(obj.filters(band), insig(min(band,size(insig,1)),:) );
end
case 'gfb_Delay'
[number_of_bands, number_of_samples] = size(insig);
if (number_of_bands ~= length(obj.delays_samples))
error('Input rows must match the number of bands');
end
outsig = zeros(number_of_bands, number_of_samples);
for band = 1:number_of_bands
if (obj.delays_samples(band) == 0)
outsig(band,:) = real(insig(band,:) * obj.phase_factors(band));
else
tmp_out = [obj.memory(band,1:obj.delays_samples(band)), ...
real(insig(band,:) * obj.phase_factors(band))];
obj.memory(band,1:obj.delays_samples(band)) = tmp_out(number_of_samples+1:length(tmp_out));
outsig(band,:) = tmp_out(1:number_of_samples);
end
end
case 'gfb_Synthesizer'
[outsig, obj.delay] = hohmann2002_process(obj.delay, insig);
[outsig, obj.mixer] = hohmann2002_process(obj.mixer, outsig);
case 'gfb_mixer'
outsig = obj.gains * insig;
otherwise
error('Unknown type of HOHMANN2002 filter object');
end