Title of article
Some bounds on entropy measures in information theory Original Research Article
Author/Authors
S.S. Dragomir، نويسنده , , C.J. Goh، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1997
Pages
6
From page
23
To page
28
Abstract
In information theory, the fundamental tool is the entropy function, whose upper bound is derived by the use of Jensen Inequality. In this paper, we extend the Jensen Inequality and apply it to derive some useful lower bounds for various entropy measures of discrete random variables.
Keywords
Jensenיs Inequality , Mutual information , Entropy , Information theory
Journal title
Applied Mathematics Letters
Serial Year
1997
Journal title
Applied Mathematics Letters
Record number
896504
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