THE AUDITORY MODELING TOOLBOX
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DATA_WIERSTORF2013 - Data points from the Wierstorf (2013) book chapter
Program code:
function [data,description] = data_wierstorf2013(varargin)
%DATA_WIERSTORF2013 Data points from the Wierstorf (2013) book chapter
% Usage: data = data_wierstorf2013_data(flag)
%
% Output parameters:
% data : the data points from the given figure as columns of a
% matrix. The x axis is alway the first column, followed by
% data and for example confident intervals. Which kind of
% data is stored in which column is indicated by the
% description string.
% description : string that describes the type and unit of the data
% represented in every column of the data matrix
%
% DATA_WIERSTORF2013(flag) returns data points from the Wierstorf 2013 book
% chapter. The flag may be one of:
%
% 'noplot' Don't plot, only return data. This is the default.
%
% 'plot' Plot the data.
%
% 'itd2angle_lookuptable' Return the data for the ITD-to-angle look-up.
%
% 'fig6' Return data from Fig. 6. The data describes the difference
% between the azimuth angle of the auditory event and the
% azimuth angle of the sound event for different incidence
% angles of the sound event. The data was collected with
% real loudspeakers as sound events and for via binaural
% synthesis simulated loudspeakers as sound event.
%
% 'fig7' Return data from Fig. 7. The data descirbes the result of
% a listening test measuring the localization performance
% for Wave Field Synthesis setups at 16 different positions
% in the listening area. The data comes for three different
% loudspeaker arrays consisting of 3, 8, or 15 loudspeakers.
% Note: these are the same data as from Fig. 10.
%
% 'fig10' Return data from Fig. 10. The data descirbes the result of
% a listening test measuring the localization performance
% for Wave Field Synthesis setups at 16 different positions
% in the listening area. The data comes for three different
% loudspeaker arrays consisting of 3, 8, or 15 loudspeakers.
% Note: these are the same data as from Fig. 7.
%
% If no flag is given, the function will print the list of valid flags.
%
% Examples:
% ---------
%
% Figure 6 can be displayed using :
%
% data_wierstorf2013('fig6','plot');
%
% Figure 7 can be displayed using :
%
% data_wierstorf2013('fig7','plot');
%
% Figure 10 can be displayed using :
%
% data_wierstorf2013('fig10','plot');
%
% References:
% H. Wierstorf, A. Raake, and S. Spors. Binaural assessment of
% multi-channel reproduction. In J. Blauert, editor, The technology of
% binaural listening, chapter 10. Springer, Berlin-Heidelberg-New York
% NY, 2013.
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.9.8/doc/data/data_wierstorf2013.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: Hagen Wierstorf
%% ------ Check input options --------------------------------------------
% Define input flags
definput.flags.type={'missingflag','fig6','fig7','fig10','itd2angle_lookuptable'};
definput.flags.plot = {'noplot','plot'};
% Parse input options
[flags,keyvals] = 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;
%% Load ITD-to-angle look-up
if flags.do_itd2angle_lookuptable
data=amt_load('wierstorf2013','itd2angle_lookuptable.mat');
end
%% ------ Data points from the paper ------------------------------------
% The following data points are the original data points from the plots in the book
% chapter from Wierstorf 2013.
%
% Data for the given figure
% --- 'fig6' ---
if flags.do_fig6
description = { ...
'all','phi_{sound event}/deg'; ...
'loudspeaker','phi_{auditory event}-phi_{sound event}/deg'; ...
'loudspeaker','confidence interval'; ...
'binaural synthesis','phi_{auditory event}-phi_{sound event}/deg'; ...
'binaural synthesis','confidence interval';
};
data = [ 41.60 -4.60 0.82 -2.21 2.81
34.80 -2.84 1.13 -0.62 1.36
21.80 -2.01 1.30 0.04 1.27
11.40 -0.98 0.81 -0.85 1.47
5.70 -1.46 0.97 -1.31 0.84
0.00 -0.31 0.77 -0.67 0.76
-11.40 2.57 0.97 -0.56 0.84
-16.80 2.54 0.90 -1.01 0.99
-31.20 1.66 1.42 0.77 1.48
-38.90 2.91 1.01 2.57 1.45
-42.20 2.51 1.33 3.86 2.23
];
% Plotting
if flags.do_plot
figure;
subplot(2,1,1);
errorbar(data(:,1),data(:,2),data(:,3),'o');
axis([-45 45 -7 7]);
legend(description{2,1});
xlabel(description{1,2});
ylabel(description{2,2});
subplot(2,1,2);
errorbar(data(:,1),data(:,4),data(:,5),'^');
axis([-45 45 -7 7]);
legend(description{4,1});
xlabel(description{1,2});
ylabel(description{4,2});
end;
end;
% --- fig7 ---
if flags.do_fig7
description = { ...
'all','x/m'; ...
'all','y/m'; ...
'1.43m','dx/m'; ...
'1.43m','dy/m'; ...
'0.41m','dx/m'; ...
'0.41m','dy/m'; ...
'0.20m','dx/m'; ...
'0.20m','dy/m';
};
data = [ ...
-0.00 -1.50 0.03 2.50 0.01 2.50 0.01 2.50
-0.25 -1.50 0.38 2.50 0.38 2.50 0.24 2.50
-0.50 -1.50 0.82 2.50 0.40 2.50 0.50 2.50
-0.75 -1.50 1.21 2.50 0.67 2.50 0.67 2.50
-1.00 -1.50 1.61 2.50 1.05 2.50 0.98 2.50
-1.25 -1.50 2.02 2.50 1.52 2.50 1.20 2.50
-1.50 -1.50 2.18 2.50 1.51 2.50 1.50 2.50
-1.75 -1.50 1.76 2.50 1.85 2.50 1.73 2.50
-0.00 -2.00 0.03 3.00 0.02 3.00 -0.01 3.00
-0.25 -2.00 0.35 3.00 0.32 3.00 0.23 3.00
-0.50 -2.00 0.72 3.00 0.53 3.00 0.45 3.00
-0.75 -2.00 1.05 3.00 0.71 3.00 0.81 3.00
-1.00 -2.00 1.44 3.00 1.05 3.00 1.06 3.00
-1.25 -2.00 1.88 3.00 1.42 3.00 1.28 3.00
-1.50 -2.00 2.26 3.00 1.77 3.00 1.51 3.00
-1.75 -2.00 2.42 3.00 1.87 3.00 1.72 3.00
];
if flags.do_plot
figure;
subplot(1,3,1);
quiver(data(:,1),data(:,2),data(:,3),data(:,4),20,'.b');
title(description{3,1});
axis([-2.13 1.63 -2.2 1.2]);
xlabel('x/m');
ylabel('y/m');
subplot(1,3,2);
quiver(data(:,1),data(:,2),data(:,5),data(:,6),20,'.b');
title(description{5,1});
axis([-2.13 1.63 -2.2 1.2]);
xlabel('x/m');
ylabel('y/m');
subplot(1,3,3);
quiver(data(:,1),data(:,2),data(:,7),data(:,8),20,'.b');
title(description{7,1});
axis([-2.13 1.63 -2.2 1.2]);
xlabel('x/m');
ylabel('y/m');
end
end
% --- fig10 ---
if flags.do_fig10
description = { ...
'all','all','x/m'; ...
'Y=1.5m','1.43m','phi_{auditory event}-phi_{sound event}/deg'; ...
'Y=1.5m','1.43m','confidence interval'; ...
'Y=1.5m','0.41m','phi_{auditory event}-phi_{sound event}/deg'; ...
'Y=1.5m','0.41m','confidence interval'; ...
'Y=1.5m','0.20m','phi_{auditory event}-phi_{sound event}/deg'; ...
'Y=1.5m','0.20m','confidence interval'; ...
'Y=2.0m','1.43m','phi_{auditory event}-phi_{sound event}/deg'; ...
'Y=2.0m','1.43m','confidence interval'; ...
'Y=2.0m','0.41m','phi_{auditory event}-phi_{sound event}/deg'; ...
'Y=2.0m','0.41m','confidence interval'; ...
'Y=2.0m','0.20m','phi_{auditory event}-phi_{sound event}/deg'; ...
'Y=2.0m','0.20m','confidence interval'; ...
};
data = [
0.00 -0.80 1.57 -0.29 2.49 -0.30 2.04 -0.48 0.75 -0.45 1.84 0.13 1.22
-0.25 -3.03 1.52 -3.02 1.62 0.18 1.62 -1.94 0.80 -1.27 1.32 0.33 0.97
-0.50 -6.94 1.43 2.28 2.01 0.02 1.67 -4.00 1.41 -0.56 1.24 0.93 1.01
-0.75 -9.22 1.29 1.62 2.97 1.72 1.40 -5.32 2.04 0.74 1.95 -1.02 1.34
-1.00 -10.99 2.14 -1.07 1.47 0.45 1.16 -7.18 2.09 -0.80 1.23 -1.08 1.53
-1.25 -12.40 2.53 -4.78 1.34 0.95 1.34 -9.51 2.10 -2.73 1.54 -0.50 1.20
-1.50 -10.07 3.24 -0.25 1.16 -0.01 1.19 -10.38 2.07 -3.94 1.29 -0.21 1.30
-1.75 -0.11 2.56 -1.56 1.28 0.28 1.91 -8.61 2.05 -1.68 1.27 0.38 1.91
];
if flags.do_plot
figure
subplot(3,1,1)
h = errorbar(data(:,1)-0.025,data(:,2),data(:,3),'o');
set(h,'MarkerEdgeColor','none','MarkerFaceColor','b')
hold on;
errorbar(data(:,1)+0.025,data(:,8),data(:,9),'o');
axis([-1.85 0.125 -16 7]);
legend(description{2,1},description{8,1});
title(description{2,2});
xlabel(description{1,3});
ylabel(description{2,3});
subplot(3,1,2)
h = errorbar(data(:,1)-0.025,data(:,4),data(:,5),'o');
set(h,'MarkerEdgeColor','none','MarkerFaceColor','b')
hold on;
errorbar(data(:,1)+0.025,data(:,10),data(:,11),'o');
axis([-1.85 0.125 -16 7]);
legend(description{4,1},description{10,1});
title(description{4,2});
xlabel(description{1,3});
ylabel(description{2,3});
subplot(3,1,3)
h = errorbar(data(:,1)-0.025,data(:,6),data(:,7),'o');
set(h,'MarkerEdgeColor','none','MarkerFaceColor','b')
hold on;
errorbar(data(:,1)+0.025,data(:,12),data(:,13),'o');
axis([-1.85 0.125 -16 7]);
legend(description{6,1},description{12,1});
title(description{6,2});
xlabel(description{1,3});
ylabel(description{2,3});
end
end
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