• DocumentCode
    1306231
  • Title

    Entropy expressions for multivariate continuous distributions

  • Author

    Darbellay, Georges A. ; Vajda, Igor

  • Author_Institution
    Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czech Republic
  • Volume
    46
  • Issue
    2
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    709
  • Lastpage
    712
  • Abstract
    Analytical formulas for the entropy and the mutual information of multivariate continuous probability distributions are presented
  • Keywords
    entropy; information theory; probability; analytical formulas; continuous probability distributions; entropy expressions; multivariate continuous distributions; mutual information; Closed-form solution; Computational complexity; Convolutional codes; Decoding; Entropy; Network address translation; Probability distribution; Tail; Throughput; Timing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.825848
  • Filename
    825848
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1306231