📄 entropy.m
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function [E,H,X]=entropy(Y,N)
%[E]=entropy(Y,N)
% Calculates the Entropy of Y (relative to N, default N=1)
% If Y is a discrete variable, N is the minimum step size
% If Y is a continous variable, N is the noise level
% (better: the standard deviation of the inaccuracy)
% Version 2.30
% last revision 21.03.1998
% Copyright (c) 1997, 1998 by Alois Schloegl
% e-mail: a.schloegl@ieee.org
% This library is free software; you can redistribute it and/or
% modify it under the terms of the GNU Library General Public
% License as published by the Free Software Foundation; either
% Version 2 of the License, or (at your option) any later version.
%
% This library 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
% Library General Public License for more details.
%
% You should have received a copy of the GNU Library General Public
% License along with this library; if not, write to the
% Free Software Foundation, Inc., 59 Temple Place - Suite 330,
% Boston, MA 02111-1307, USA.
if nargin==2
[H,X,E]=histo(Y,N);
else
[H,X,E]=histo(Y);
end;
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