• DocumentCode
    2944579
  • Title

    On Asymptotically Optimal Stationary Source Codes for IID Sources

  • Author

    Mao, Mark Z. ; Gray, Robert M. ; Linde, Tamás

  • Author_Institution
    Dept of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • fYear
    2011
  • fDate
    29-31 March 2011
  • Firstpage
    3
  • Lastpage
    12
  • Abstract
    A vector extension of a necessary condition for asymptotically optimal stationary (sliding-block) source codes is presented. The condition implies the intuitive result that the reproduction process for an IID input must be approximately uncorrelated if the code is approximately optimal, a property previously demonstrated empirically for common examples. One-bit coding of a Gaussian IID process is used to illustrate the goodness of fit of the empirical distribution of the reproduction to the Shannon optimal distribution.
  • Keywords
    Gaussian processes; block codes; information theory; source coding; Gaussian IID sources; Shannon optimal distribution; asymptotically optimal stationary source codes; empirical distribution; one-bit coding; sliding-block source codes; Channel coding; Distortion measurement; Entropy; Joints; Nonlinear distortion; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2011
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-61284-279-0
  • Type

    conf

  • DOI
    10.1109/DCC.2011.8
  • Filename
    5749458