function [ei_map, fc] = breebaart2001preproc(insig, fs, tau, ild, varargin);
%BREEBAART2001PREPROC   Auditory model from Breebaart et. al. 2001
%   Usage: [outsig, fc] = breebaart2001preproc(insig,fs);
%          [outsig, fc] = breebaart2001preproc(insig,fs,...);
%
%   Input parameters:
%        insig  : input acoustic signal.
%        fs     : sampling rate.
%        tau    : characteristic delay in seconds (positive: left is leading)
%        ild    : characteristic ILD in dB (positive: left is louder)
%  
%   BREEBAART2001PREPROC(insig,fs,tau,ild) computes the EI-cell
%   representation of the signal insig sampled with a frequency of fs Hz
%   as described in Breebaart (2001). The parameters tau and ild define
%   the sensitivity of the EI-cell.
%
%   The input must have dimensions time x left/right channel
%   x signal no.
%
%   The output has dimensions time x frequency x signal no. 
%  
%   [outsig,fc]=BREEBAART2001PREPROC(...) additionally returns the center
%   frequencies of the filter bank.
%  
%   The Breebaart 2001 model consists of the following stages:
%   
%   1) a gammatone filter bank with 1-erb spaced filters.
%
%   2) an envelope extraction stage done by half-wave rectification
%      followed by low-pass filtering to 770 Hz.
%
%   3) an adaptation stage modelling nerve adaptation by a cascade of 5
%      loops.
%
%   4) an excitation-inhibition (EI) cell model.
%
%   Parameters for AUDITORYFILTERBANK, IHCENVELOPE, ADAPTLOOP and
%   EICELL can be passed at the end of the line of input arguments.
%
%   Examples
%   --------
%
%   The following code sets up a simple test example :
%
%     % Setup parameters
%     fs      = 44100;            % Sampling rate
%     T       = 0.3;              % Duration
%     Spl1    = 75;               % SPL of input signal 1
%     Spl2    = 75;               % SPL of input signal 2
%     rho     = 0;                % normalized correlation of signals
%     tau     = 0;
%     ild     = 0;
%
%     % Generate signals:
%     t  = [0:1/fs:T];
%     n1 = setdbspl(randn(length(t),1),Spl1);
%     n2 = setdbspl(randn(length(t),1),Spl2);
%     x1 = n1*sqrt((1+rho)/2) + n2*sqrt((1-rho)/2);
%     x2 = n1*sqrt((1+rho)/2) - n2*sqrt((1-rho)/2);
%
%     % Run the model and plot it
%     [ei_map, fc] = breebaart2001preproc([x1,x2], fs, tau, ild);
%     plotfilterbank(ei_map,1,fc,fs,'audtick','lin');
%
%   See also: eicell, auditoryfilterbank, ihcenvelope, adaptloop
%
%   References:
%     J. Breebaart, S. van de Par, and A. Kohlrausch. Binaural processing
%     model based on contralateral inhibition. I. Model structure. J. Acoust.
%     Soc. Am., 110:1074-1088, August 2001.
%     
%
%   Url: http://amtoolbox.sourceforge.net/amt-0.9.7/doc/binaural/breebaart2001preproc.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/>.

%   AUTHOR : Peter L. Soendergaard
  
% ------ Checking of input parameters ------------

if nargin<4
  error('%s: Too few input arguments.',upper(mfilename));
end;

if ~isnumeric(insig) 
  error('%s: insig must be numeric.',upper(mfilename));
end;

if ~isnumeric(fs) || ~isscalar(fs) || fs<=0
  error('%s: fs must be a positive scalar.',upper(mfilename));
end;

definput.import = {'auditoryfilterbank','ihcenvelope','adaptloop','eicell'};
definput.importdefaults={'fhigh',8000,'ihc_breebaart','adt_breebaart'};

[flags,keyvals,flow,fhigh,basef]  = ltfatarghelper({'flow', 'fhigh', ...
                    'basef'},definput,varargin);

% ------ do the computation -------------------------

%% Apply the auditory filterbank
[outsig, fc] = auditoryfilterbank(insig,fs,'argimport',flags,keyvals);

%% 'haircell' envelope extraction
outsig = ihcenvelope(outsig,fs,'argimport',flags,keyvals);

%% non-linear adaptation loops
outsig = adaptloop(outsig,fs,'argimport',flags,keyvals);

[siglen,nfreqchannels,naudiochannels,nsignals] = size(outsig);

ei_map = zeros(siglen, nfreqchannels, nsignals);
for k=1:nsignals
  for g=1:nfreqchannels
    ei_map(:,g,k) = eicell(squeeze(outsig(:,g,:,k)),fs,tau,ild);
  end
end