A New Bound in Information Theory

被引：0

作者：

Popescu, Pantelimon George ^{[1
]}

Slusanschi, Emil Ioan ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Comp Sci & Engn Dept, Splaiul Independentei 313, Bucharest 060042 6, Romania

来源：

2015 20TH INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE | 2015年

关键词：

Information theory; entropy; Jensen's inequality; bounds; refinements;

D O I：

10.1109/CSCS.2015.117

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Shannon Entropy, for discrete-valued random variables, plays important roles in information theory. The purpose of this paper is to present a new bound for the Shannon Entropy, by developing a refinement of Jensen's inequality.

引用

页码：220 / 221

页数：2

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