DocumentCode
726872
Title
A New Bound in Information Theory
Author
Popescu, George Pantelimon ; Slusanschi, Emil-Ioan
Author_Institution
Comput. Sci. & Eng. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear
2015
fDate
27-29 May 2015
Firstpage
220
Lastpage
221
Abstract
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.
Keywords
information theory; random processes; refinement calculus; Jensen inequality refinement; Shannon entropy bound; discrete-valued random variables; information theory; Computer science; Control systems; Convex functions; Entropy; Mutual information; Upper bound; Information theory; Jensen´s inequality; bounds; entropy; refinements;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Systems and Computer Science (CSCS), 2015 20th International Conference on
Conference_Location
Bucharest
Print_ISBN
978-1-4799-1779-2
Type
conf
DOI
10.1109/CSCS.2015.117
Filename
7168433
Link To Document