Home > freetb4matlab > info-theory > mutualinformation.m

mutualinformation

PURPOSE ^

%

SYNOPSIS ^

function val=mutualinformation(XY)

DESCRIPTION ^

% -*- texinfo -*-
% @deftypefn {Function File} {} mutualinformation (@var{xy})
%
% Computes the mutual information of the given channel transition matrix.
% By definition we have @code{I(@var{x}, @var{y}) given as
% @code{I(@var{x}:@var{y}) = SUM(P(@var{x},@var{y}) * log2(p(@var{x},@var{y})
% / p(@var{x})/p(@var{y}))) = relative_entropy(P(@var{x},@var{y}) |
% P(@var{x}),P(@var{y}))}
% Mutual Information, is amount of information, one variable
% has, about the other. It is the reduction of uncertainity.
% This is a symmetric function.
% @end deftypefn
% @seealso{entropy, conditionalentropy}

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:
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