Entropy power inequality
id:
entropy-power-inequality-322-4863803
title:
Entropy power inequality
text:
In information theory, the entropy power inequality (EPI) is a result that relates to so-called "entropy power" of random variables. It shows that the entropy power of suitably well-behaved random variables is a superadditive function. The entropy power inequality was proved in 1948 by Claude Shannon in his seminal paper "A Mathematical Theory of Communication". Shannon also provided a sufficient condition for equality to hold; Stam (1959) showed that the condition is in fact necessary.
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Entropy_power_inequality
date created:
date modified:
2023-03-10T14:04:27Z
main entity:
{"identifier":"Q5380810","url":"https://www.wikidata.org/entity/Q5380810"}
image:
fields total:
13
integrity:
13