function [output, analyzer] = gfb_analyzer_process(analyzer, input)
%GFB_ANALYZER_PROCESS Process input data
% Usage: [output, analyzer] = gfb_analyzer_process(analyzer, input);
%
% Input parameters:
% analyzer : A gfb_analyzer struct created from gfb_analyzer_new. The
% analyzer will be returned (with updated filter states) as
% the second output parameter
% input : Either a row vector containing the input signal to process, or
% a matrix containing different input signals for the different
% bands. Different rows correspond to different filter bands,
% while different colums correspond to different times.
%
% Output parameters:
% output : A matrix containing the analyzer's output signals. The
% rows correspond to the filter bands
%
% The analyzer processes the input data.
%
% Url: http://amtoolbox.sourceforge.net/amt-0.9.7/doc/filters/gfb_analyzer_process.php
% Copyright (C) 2009-2014 Peter L. Søndergaard and Piotr Majdak.
% This file is part of AMToolbox version 0.9.7
%
% 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/>.
% copyright: Universitaet Oldenburg
% author : tp
% date : Jan 2002, Sep 2003, Nov 2006, Jan 2007
if (analyzer.fast)
% use matlab extension for fast computation.
[output, analyzer] = gfb_analyzer_fprocess(analyzer, input);
else
number_of_bands = length(analyzer.center_frequencies_hz);
output = zeros(number_of_bands, length(input));
for band = [1:number_of_bands]
[output(band,:), analyzer.filters(band)] = ...
gfb_filter_process(analyzer.filters(band), ...
input );
end
end