• DocumentCode
    3283089
  • Title

    Information ambiguity

  • Author

    Agnihotri, Samar ; Jamadagni, H.S.

  • Author_Institution
    CEDT, Indian Inst. of Sci., Bangalore
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We propose a quantity called information ambiguity that plays the same role in the worst-case information-theoretic analyses as the well-known notion of information entropy performs in the corresponding average-case analyses. We prove various properties of information ambiguity and illustrate its usefulness in performing the worst-case analysis of a variant of distributed source coding problem.
  • Keywords
    entropy; source coding; distributed source coding problem; information ambiguity; information entropy; worst-case information-theoretic analyses; Context; Energy consumption; Information analysis; Information entropy; Information theory; Performance analysis; Performance evaluation; Random variables; Source coding; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4244-2068-1
  • Electronic_ISBN
    978-1-4244-2069-8
  • Type

    conf

  • DOI
    10.1109/ISITA.2008.4895660
  • Filename
    4895660
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3283089