Mutual Information and Relative Entropy over the Binomial and Negative Binomial Channels

被引：0

作者：

Taborda, Camilo G. ^{[1
]}

Perez-Cruz, Fernando ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Dept Signal Theory & Commun, Madrid 28911, Spain

来源：

2012 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT) | 2012年

关键词：

MEAN-SQUARE ERROR;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We study the relation of the mutual information and relative entropy over the Binomial and Negative Binomial channels with estimation theoretical quantities, in which we extend already known results for Gaussian and Poisson channels. We establish general expressions for these information theory concepts with a direct connection with estimation theory through the conditional mean estimation and a particular loss function.

引用

页码：696 / 700

页数：5

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