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function pmv = langendijk2002(targets,template,varargin)
%LANGENDIJK2002 Localization model according to Langendijk et al. (2002)
% Usage: pmv = langendijk2002(targets,template)
% pmv = langendijk2002(targets,template,fs,bw,s,do,flow,fhigh)
%
% Input parameters:
% targets : head-related impulse responses (HRIRs) of target sounds
% (sorted acc. ascending polar angle)
% template : HRIRs of template
%
% Output parameters:
% pmv : Predicted probability mass vectors (PMVs) of polar response
% angles as a function of the polar target angle.
%
% LANGENDIJK2002(targets,template,... ) results to a two dimensional matrix p. The
% first dimension represents all possible response positions in
% increasing order and the second dimension all possible target
% respectively source positions. Consequently each column represents the
% predicted probability mass vector (PMV) of the polar response angle
% distribution for one special target position. If you want to plot this
% prediction matrix use PLOT_LANGENDIJK2002.
%
% LANGENDIJK2002 accepts the following optional parameters.
%
% 'fs',fs Sampling rate of the head-related impulse responses.
%
% 'bw',bw Bandwidth of filter bands as partial of an octave. The
% default value is 6.
%
% 'do',do Differential order. The default value is 0.
%
% 's',s Standard deviation of transforming Gaussian
% function; default value is 2.
%
% 'flow',flow Lower cutoff frequency of filter bank. min: 0,5kHz; default: 2kHz
%
% 'fhigh',fhigh Upper cutoff frequency of filter bank; default: 16kHz
%
% LANGENDIJK2002 accepts the following flags.
%
% 'std' Apply Gaussian transformed standard deviation of
% inter-spectral differences for comparison process.
% This is the default.
%
% 'xcorr' Apply crosscorrelation for comparison process.
%
% See also: plot_langendijk2002
%
% References:
% E. Langendijk and A. Bronkhorst. Contribution of spectral cues to human
% sound localization. J. Acoust. Soc. Am., 112:1583-1596, 2002.
%
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.9.8/doc/models/langendijk2002.php
% Copyright (C) 2009-2015 Piotr Majdak and Peter L. Søndergaard.
% This file is part of AMToolbox version 0.9.8
%
% 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 : Robert Baumgartner, OEAW Acoustical Research Institute
definput.import={'langendijk2002_comp'};
definput.keyvals.bw=6;
definput.keyvals.flow=2000;
definput.keyvals.fhigh=16000;
definput.keyvals.stim=[];
definput.keyvals.fs=48000;
[flags,kv]=ltfatarghelper({'fs','bw','s','do','flow','fhigh'},definput,varargin);
% Stimulus (not considered in original model)
if not(isempty(kv.stim))
tmp = convolve(kv.stim,targets);
targets = reshape(tmp,[size(tmp,1),size(targets,2),size(targets,3)]);
end
% Filter bank
x = langendijk2002_spectralanalysis(targets,kv.fs,kv.flow,kv.fhigh,kv.bw);
y = langendijk2002_spectralanalysis(template,kv.fs,kv.flow,kv.fhigh,kv.bw);
% Comparison process
si=zeros(size(template,2),size(targets,2),size(template,3)); % initialisation
for ii=1:size(targets,2)
si(:,ii,:) = langendijk2002_comp(x(:,ii,:),y,'argimport',flags,kv);
end
% Binaural average
si = mean(si,3);
% Normalization to PMV
pmv = si ./ repmat(sum(si),size(si,1),1);
end