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function output = exp_langendijk2002(varargin)
%EXP_LANGENDIJK2002 Experiment from Langendijk & Bronkhorst (2002)
% Usage: output = exp_langendijk2002(flag);
%
% `exp_langendijk2002(flags)` recreates figures from Langendijk &
% Bronkhorst (2002)
%
% The following flags can be specified;
%
% 'plot' Plot the output of the experiment. This is the default.
%
% 'noplot' Don't plot, only return data.
%
% 'fig7' Listener P6
%
% 'fig9' Listener P3
%
% You can choose between two of his listeners P3 and P6. The required
% data (DTF data and response patterns) will be provided by precalculated
% mat-files due to high computing time (optionally data can be
% recalculated by using |data_langendijk2002|_.
%
% The following subfigures show the probability density functions (PDFs)
% and actual response angles as functions of the target angle for the
% exemplary listener and different conditions. The shading of each cell
% codes the response probability (light/dark denotes high/low probability):
%
% * Subfigure 1: Baseline condition
%
% * Subfigure 2: 2-octave condition (4-16kHz)
%
% * Subfigure 3: 1-octave condition (low 4-8kHz)
%
% * Subfigure 4: 1-octave condition (middle 5.7-11.3kHz)
%
% * Subfigure 5: 1-octave condition (high 8-16kHz)
%
% Subfigure 6 shows the likelihood statistics for the actual responses
% (bars) in comparison to the means (dots) and the 99% confidence
% intervals (whiskers) of the expected likelihood. See paper for further
% details about the likelihood statistics.
%
% The output are the pdfs for the baseline condition.
%
% Examples:
% ---------
%
% To display Figure 7 use :::
%
% exp_langendijk2002('fig7');
%
% To display Figure 9 use :::
%
% exp_langendijk2002('fig9');
%
% See also: langendijk2002, langendijk2002likelihood, plotlangendijk2002,
% plotlangendijk2002likelihood, data_langendijk2002
%
% References: langendijk2002contribution
%
% AUTHOR : Robert Baumgartner, OEAW Acoustic Research Institute
%% ------ Check input options --------------------------------------------
definput.flags.type = {'missingflag','fig7','fig9'};
definput.flags.plot = {'plot','noplot'};
% Parse input options
[flags] = ltfatarghelper({},definput,varargin);
if flags.do_missingflag
flagnames=[sprintf('%s, ',definput.flags.type{2:end-2}),...
sprintf('%s or %s',definput.flags.type{end-1},definput.flags.type{end})];
error('%s: You must specify one of the following flags: %s.',upper(mfilename),flagnames);
end;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SETTINGS %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig7
listener='P6'; % ID of listener (P3 or P6)
elseif flags.do_fig9
listener='P3';
end
fs = 48000; % sampling frequency
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
path = mfilename('fullpath');
dtfdata=load(['langendijk2002-' listener '.mat']);
% loads hM data for all conditions
% data can be recalculated by calling data_langendijk2002('expdata')
% pdf calcualtion
%h = waitbar(0,'Please wait...');
pb = langendijk2002( dtfdata.medir,dtfdata.medir,fs); % baseline
%waitbar(1/5)
p2o = langendijk2002( dtfdata.medir2o,dtfdata.medir,fs); % 2-oct (4-16kHz)
%waitbar(2/5)
p1ol= langendijk2002( dtfdata.medir1ol,dtfdata.medir,fs); % 1-oct (low:4-8kHz)
%waitbar(3/5)
p1om= langendijk2002( dtfdata.medir1om,dtfdata.medir,fs); % 1-oct (middle:5.7-11.3kHz)
%waitbar(4/5)
p1oh= langendijk2002( dtfdata.medir1oh,dtfdata.medir,fs); % 1-oct (high:8-16kHz)
%waitbar(5/5)
% likelihood estimations
la=zeros(5,1);le=zeros(5,1);ci=zeros(5,2);
idb=1:2:length(dtfdata.targetb); % in order to get comparable likelihoods
[la(1),le(1),ci(1,:)] = langendijk2002likelihood( pb,dtfdata.pol,dtfdata.pol,dtfdata.targetb(idb),dtfdata.responseb(idb) );
[la(2),le(2),ci(2,:)] = langendijk2002likelihood( p2o,dtfdata.pol,dtfdata.pol,dtfdata.targetc,dtfdata.response2o );
[la(3),le(3),ci(3,:)] = langendijk2002likelihood( p1ol,dtfdata.pol,dtfdata.pol,dtfdata.targetc,dtfdata.response1ol );
[la(4),le(4),ci(4,:)] = langendijk2002likelihood( p1om,dtfdata.pol,dtfdata.pol,dtfdata.targetc,dtfdata.response1om );
[la(5),le(5),ci(5,:)] = langendijk2002likelihood( p1oh,dtfdata.pol,dtfdata.pol,dtfdata.targetc,dtfdata.response1oh );
%close(h)
output = pb;
if flags.do_plot
figure('Name',listener)
clf
% pdf plots with actual responses
subplot(2,3,1)
hold all;
plotlangendijk2002(pb,dtfdata.pol,dtfdata.pol,'nocolorbar');
title(['Baseline']);
h=plot( dtfdata.targetb, dtfdata.responseb, 'ko');
set(h, 'MarkerFaceColor','w');
subplot(2,3,2)
hold all;
plotlangendijk2002(p2o,dtfdata.pol,dtfdata.pol,'nocolorbar');
title(['2-oct (4-16kHz)']);
h=plot( dtfdata.targetc, dtfdata.response2o, 'ko');
set(h, 'MarkerFaceColor','w');
subplot(2,3,3)
hold all;
plotlangendijk2002(p1ol,dtfdata.pol,dtfdata.pol,'nocolorbar');
title(['1-oct (low: 4-8kHz)']);
h=plot( dtfdata.targetc, dtfdata.response1ol, 'ko');
set(h, 'MarkerFaceColor','w');
subplot(2,3,4)
hold all;
plotlangendijk2002(p1om,dtfdata.pol,dtfdata.pol,'nocolorbar');
title(['1-oct (middle: 5.7-11.3kHz)']);
h=plot( dtfdata.targetc, dtfdata.response1om, 'ko');
set(h, 'MarkerFaceColor','w');
subplot(2,3,5)
hold all;
plotlangendijk2002(p1oh,dtfdata.pol,dtfdata.pol,'nocolorbar');
title(['1-oct (high: 8-16kHz)']);
h=plot( dtfdata.targetc, dtfdata.response1oh, 'ko');
set(h,'MarkerFaceColor','w')
% likelihood statistic
subplot(2,3,6)
plotlangendijk2002likelihood(la,le,ci);
set(gca,'XLim',[0.5 5.5])
end
end