• DocumentCode
    3368246
  • Title

    Informational divergence approximations to product distributions

  • Author

    Jie Hou ; Kramer, Gerhard

  • Author_Institution
    Inst. for Commun. Eng., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2013
  • fDate
    18-21 June 2013
  • Firstpage
    76
  • Lastpage
    81
  • Abstract
    The minimum rate needed to accurately approximate a product distribution based on an unnormalized informational divergence is shown to be a mutual information. This result subsumes results of Wyner on common information and Han-Verdú on resolvability. The result also extends to cases where the source distribution is unknown but the entropy is known.
  • Keywords
    entropy; Han-Verdu resolvability; entropy; informational divergence approximations; mutual information; product distributions; source distribution; Approximation methods; Channel coding; Conferences; Mutual information; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (CWIT), 2013 13th Canadian Workshop on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/CWIT.2013.6621596
  • Filename
    6621596
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3368246