New Bounds of a Measure in Information Theory

被引：0

作者：

Popescu, Mihaela-Alexandra ^{[2
]}

Slussanschi, Oana ^{[3
]}

Olteanu, Alexandru-Corneliu ^{[1
]}

Pop, Florin ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Automat Control & Computers, Bucharest, Romania

[2] Romanian Acad, Inst Solid Mech, Bucharest, Romania

[3] Carol Davila Univ Med & Pharm, Fac Dent, Dept Prevent Dent, Bucharest, Romania

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2014 IEEE 6TH INTL SYMP ON CYBERSPACE SAFETY AND SECURITY, 2014 IEEE 11TH INTL CONF ON EMBEDDED SOFTWARE AND SYST (HPCC,CSS,ICESS) | 2014年

关键词：

Jensen's inequality; entropy; bounds; refinements;

D O I：

10.1109/HPCC.2014.142

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 an important roles in information theory [1], with applicability in cryptography and communication theory. The purpose of this paper is to present a new bound for the Shannon Entropy. For this we first present a refinement of Jensen's inequality.

引用

页码：927 / 928

页数：2

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