Title :
New Bounds of a Measure in Information Theory
Author :
Popescu, Mihaela Alexandra ; Slusanschi, Oana ; Olteanu, Alexandru Corneliu ; Pop, Florin
Author_Institution :
Inst. of Solid Mech., Bucharest, Romania
Abstract :
Shannon Entropy, for discrete-valued random variables, plays an important roles in information theory, 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.
Keywords :
cryptography; entropy; Jensen inequality; Shannon entropy; communication theory; cryptography; discrete-valued random variables; information theory; Conferences; Electronic mail; Entropy; Information theory; Peer-to-peer computing; Upper bound; Jensen´s inequality; bounds; entropy; refinements;
Conference_Titel :
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 IEEE Intl Conf on
Print_ISBN :
978-1-4799-6122-1
DOI :
10.1109/HPCC.2014.142
