function d = lindemann1986_centroid(cc)
%LINDEMANN1986_CENTROID Calculates the centroid for a cross-correlation
% Usage: d = lindemann1986_centroid(cc)
%
% Input parameters:
% cc : Lindemann cross-correlation. Dim: 1 x delay line length
%
% Output parameters:
% d : lindemann1986_centroid in the range -1..1~ms
%
% LINDEMANN1986_CENTROID(cc) calculates the centroid for a given
% cross-correlation from the Lindemann model.
%
% The centroid is computed by (see Lindemann (1986a), page 1613, eq. 22):
%
% M M
% d = ( sum m*Psi(m) ) / ( sum Psi(m) )
% m=-M m=-M
%
% where M is half the length of the delay line -M,...,M.
%
% See also: lindemann1986
%
% References:
% W. Lindemann. Extension of a binaural cross-correlation model by
% contralateral inhibition. I. Simulation of lateralization for
% stationary signals. J. Acoust. Soc. Am., 80:1608--1622, 1986.
%
%
% Url: http://amtoolbox.org/amt-1.4.0/doc/modelstages/lindemann1986_centroid.php
% #StatusDoc: Perfect
% #StatusCode: Perfect
% #Verification: Unknown
% #Author: Hagen Wierstorf (2012)
% This file is licensed unter the GNU General Public License (GPL) either
% version 3 of the license, or any later version as published by the Free Software
% Foundation. Details of the GPLv3 can be found in the AMT directory "licences" and
% at <https://www.gnu.org/licenses/gpl-3.0.html>.
% You can redistribute this file and/or modify it under the terms of the GPLv3.
% This file is distributed without any warranty; without even the implied warranty
% of merchantability or fitness for a particular purpose.
% ------ Checking of input parameters -----------------------------------
narginchk(1,1);
if ~isnumeric(cc) || ~isvector(cc)
error('%s: cc has to be a numeric vector signal!',upper(mfilename));
end
% Ensure size(cc) = delay line length x 1
if size(cc,1)==1
cc = cc';
end
% ------ Computation -----------------------------------------------------
% Calculate the length of the delay line as -M:M
m = linspace(-1,1,length(cc))';
% Calculate the centroid using the -M:M delay line
d = sum(m.*cc) / sum(cc);