• DocumentCode
    2551727
  • Title

    Evaluating Information Measures for the Gamma-order Multivariate Gaussian: Entropy Type Information Measures

  • Author

    Kitsos, Christos P. ; Toulias, Thomas L.

  • Author_Institution
    Dept. of Math., Technol. Educ. Inst. of Athens, Athens, Greece
  • fYear
    2010
  • fDate
    10-12 Sept. 2010
  • Firstpage
    153
  • Lastpage
    157
  • Abstract
    The target of this paper is to study the introduced generalized entropy type measures of information and the γ-order generalized Gaussian (or hyper multivariate normal distribution), relative to it. This three parameter distribution plays an important role to the new generalized information measure and extends the well known normal distribution. For the γ-order generalized Gaussian the Kullback-Leibler information is evaluated, which is reduced to the well known for the normal distribution, when the generalized Gaussian is reduced to typical Gaussian distribution.
  • Keywords
    Gaussian distribution; Kullback-Leibler information; entropy type information measurement; information measurement evaluation; the γ-order multivariate Gaussian; Cramer-Rao bounds; Density functional theory; Entropy; Gaussian distribution; Information theory; Power measurement; Entropy power; Information measures; Kullback-Leibler information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics (PCI), 2010 14th Panhellenic Conference on
  • Conference_Location
    Tripoli
  • Print_ISBN
    978-1-4244-7838-5
  • Type

    conf

  • DOI
    10.1109/PCI.2010.10
  • Filename
    5600449