Mutual Information In probability theory and information theory

Version 1.3.0.0 (14,2 ko) par Guangdi Li
Code for marginally and conditional mutual information in probability and information theory
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Mise à jour 26 jan. 2010

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The definition of mutual information could resort to wiki:
http://en.wikipedia.org/wiki/Mutual_information

For marginal mutual information, we say it is :
I(A,B)=sum sum P(A,B) log[P(A,B)/P(A)P(B)]

For conditional mutual information, we say it is :
I(A,B|C)=sum sum P(A,B|C) log[P(A,B|C)/P(A|C)P(B|C)]

For mutual information matric, we say it is:
the matric saves all pairs of I(A,B)

Please refer to "ControlCentor.m", we have a simple example for you understanding. If there is any question, please let me know, i will help you as soon as possible.

PS: fast mex programming functions are provided for advance users here too

Citation pour cette source

Guangdi Li (2024). Mutual Information In probability theory and information theory (https://www.mathworks.com/matlabcentral/fileexchange/23274-mutual-information-in-probability-theory-and-information-theory), MATLAB Central File Exchange. Récupéré le .

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MutualInformation/

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Version Publié le Notes de version
1.3.0.0

Add mex programming functions , to improve the efficiency
1.2.0.0

I miss to add one file together, thus ..... Thanks for you help
1.1.0.0

one *.m is missed, I add it again. Thanks.
1.0.0.0