function [ei_map,fc,outsigl,outsigr] = breebaart2001(insig,fs,tau,ild,varargin)
%BREEBAART2001 Binaural masking level differences
% Usage: [ei_map, fc, outsigl, outsigr] = breebaart2001(insig,fs);
% [ei_map, fc, outsigl, outsigr] = breebaart2001(insig,fs,...);
% [ei_map, fc] = breebaart2001(insig,fs);
% [ei_map, fc] = breebaart2001(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)
%
% Output parameters:
% ei_map : EI-cell representation
% outsigl : internal monaural representation of the left ear
% outsigr : internal monarual respresnetaion of th right ear
% fc : center frequencies of the filterbank
%
% BREEBAART2001(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) of the signal insig sampled with
% a frequency of fs Hz. 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]'.
%
% [ei_map,fc]=BREEBAART2001(...) additionally
% returns the center frequencies of the filter bank.
%
% [ei_map,fc,ml,mr]=BREEBAART2001(...) additionally
% returns the center frequencies of the filter bank and the internal
% monaural representations.
%
% The Breebaart 2001 model consists of the following stages:
%
% 1) an outer and middle ear transfer function
%
% 2) a gammatone filter bank with 1-erb spaced filters.
%
% 3) an envelope extraction stage done by half-wave rectification
% followed by low-pass filtering to 770 Hz.
%
% 4) an adaptation stage modelling nerve adaptation by a cascade of 5
% loops.
%
% 5) an excitation-inhibition (EI) cell model.
%
% Parameters for AUDITORYFILTERBANK, IHCENVELOPE, ADAPTLOOP and
% BREEBAART2001_EICELL can be passed at the end of the line of input arguments.
%
% Examples
% --------
%
% The following code sets up a simple test example for the binaural output:
%
% % 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 = scaletodbspl(randn(length(t),1),Spl1);
% n2 = scaletodbspl(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] = breebaart2001([x1,x2], fs, tau, ild);
% plotfilterbank(ei_map,1,fc,fs,'audtick','lin');
%
% See also: breebaart2001_eicell auditoryfilterbank ihcenvelope adaptloop breebaart2001_outmiddlefilter
% modfilterbank data_breebaart2001 sig_breebaart2001 demo_breebaart2001
% breebaart2001_centralproc amt_emuexp exp_osses2021 exp_breebaart2001
% exp_osses2022 dietz2011 osses2021
%
% 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.org/amt-1.2.0/doc/models/breebaart2001.php
% Copyright (C) 2009-2022 Piotr Majdak, Clara Hollomey, and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 1.2.0
%
% 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/>.
% #StatusDoc: Perfect
% #StatusCode: Perfect
% #Verification: Verified
% #Requirements: M-Signal
% #Author: Peter L. Soendergaard
% #Author: Martina Kreuzbichler
% ------ 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','breebaart2001_eicell'};
definput.importdefaults={'fhigh',8000,'ihc_breebaart2001','adt_breebaart2001'};
[flags,keyvals,~,~,~] = ltfatarghelper({'flow', 'fhigh', ...
'basef'},definput,varargin);
% ------ Checking of output parameters ------------
% to ensure backwards compatibility
do_mono = 0;
if nargout > 2
do_mono = 1;
end
% ------ do the computation -------------------------
%% Outer- and middle ear transfer function
for earnumber = 1:2
outsig(:,earnumber) = breebaart2001_outmiddlefilter(insig(:,earnumber),fs);
end
%% Apply the auditory filterbank
% only if spacing is 1 filter per ERB and order is 4
[outsig, fc] = auditoryfilterbank(outsig,fs,'argimport',flags,keyvals);
% % Spacing is two filters per ERB -> spacing in ERB is 0.5
% order = 3; % filter order
% spacing = 0.5;
% flow = 20;
% keyvals.basef = (exp(0.11)-1)/0.00437;
% fc = audspacebw(flow,fhigh,spacing,keyvals.basef,'erb');
% [bgt,agt] = gammatone(fc,fs,order,'complex');
% outsig = 2*real(ufilterbankz(bgt,agt,outsig));
%% 'haircell' envelope extraction
outsig = ihcenvelope(outsig,fs,'argimport',flags,keyvals);
%% non-linear adaptation loops,
% lowpass filter for monaural output and breebaart2001_eicell for binaural output
outsignal = adaptloop(outsig,fs,'argimport',flags,keyvals);
if do_mono == 1
% Calculate filter coefficients for the 10 ms lowpass filter.
% This filter places a pole /very/ close to the unit circle.
mlp_a = exp(-(1/0.01)/fs);
mlp_b = 1 - mlp_a;
mlp_a = [1, -mlp_a];
% Apply the low-pass modulation filter.
outsig = filter(mlp_b,mlp_a,outsignal);
outsigl = outsig(:,:,1);
outsigr = outsig(:,:,2);
end
[siglen,nfreqchannels,~,nsignals] = size(outsignal);
ei_map = zeros(siglen, nfreqchannels, nsignals);
for k=1:nsignals
for g=1:nfreqchannels
ei_map(:,g,k) = breebaart2001_eicell(squeeze(outsignal(:,g,:,k)),fs,tau,ild,'rc_a',keyvals.rc_a);
end
end