function outsig=ufilterbankz(b,a,insig,hopsize)
%UFILTERBANKZ Uniform Filter bank with zero boundary condition
% Usage: outsig=ufilterbankz(b,a,insig);
% outsig=ufilterbankz(b,a,insig,hopsize);
%
% UFILTERBANKZ(b,a,insig) filters the input signal with the filters
% described in a and b.
%
% UFILTERBANKZ(b,a,insig,hopsize) does the same, but only outputs every
% hopsize sample in the time domain.
%
% If a and b are matrices then each row corresponds to a subband
% channel.
%
% If insig is a matrix then filtering is applied along the columns.
%
% If f is a single vector, then the output will be a matrix, where each
% column in f is filtered by the corresponding filter in g. If f is
% a matrix, the output will be 3-dimensional, and the third dimension will
% correspond to the columns of the input signal
% See also: gammatone, filterbankz, auditoryfilterbank
%
% Url: http://amtoolbox.sourceforge.net/amt-0.10.0/doc/general/ufilterbankz.php
% Copyright (C) 2009-2020 Piotr Majdak and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 0.10.0
%
% 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 : Peter L. Søndergaard
%% ------ Checking of input parameters ---------
narginchk(3,4);
if nargin==3
hopsize=1;
end;
%% ------ Computation --------------------------
[insig,siglen,dummy,nsigs,dim,permutedsize,order]=assert_sigreshape_pre(insig,[],[], ...
upper(mfilename));
nchannels=size(b,1);
outlen=ceil(siglen/hopsize);
outsig=zeros(outlen,nchannels,nsigs);
for ii=1:nchannels
res = filter(b(ii,:),a(ii,:),insig);
res = res(1:hopsize:siglen,:);
outsig(:,ii,:) = reshape(res,outlen,1,nsigs);
end;
% Modify permutedsize and order to reflect that first dimension has split
% in two
permutedsize=[outlen,nchannels,permutedsize(2:end)];
order=assert_groworder(order);
outsig=assert_sigreshape_post(outsig,dim,permutedsize,order);