• DocumentCode
    3039501
  • Title

    A tight upper bound on discrete entropy

  • Author

    Mow, Wai Ho

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
  • fYear
    1997
  • fDate
    29 Jun-4 Jul 1997
  • Firstpage
    249
  • Abstract
    Based on a result from the theory of Jacobi theta functions, we derive a new discrete entropy bound, which is tight for any asymptotically normal discrete random variable satisfying the required conditions
  • Keywords
    binomial distribution; entropy; information theory; Jacobi theta function; asymptotically normal discrete random variable; binomial random variables; discrete entropy; tight upper bound; Adders; Communication standards; Entropy; Jacobian matrices; Random variables; Read only memory; Upper bound; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-7803-3956-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1997.613164
  • Filename
    613164
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3039501