• DocumentCode
    3575165
  • 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
  • fYear
    2014
  • Firstpage
    927
  • Lastpage
    928
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/HPCC.2014.142
  • Filename
    7056856
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3575165