• DocumentCode
    1478754
  • Title

    High-resolution source coding for non-difference distortion measures: the rate-distortion function

  • Author

    Linder, Tamás ; Zamir, Ram

  • Author_Institution
    Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    45
  • Issue
    2
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    533
  • Lastpage
    547
  • Abstract
    The problem of asymptotic (i,e., low-distortion) behavior of the rate-distortion function of a random vector is investigated for a class of non-difference distortion measures. The main result is an asymptotically tight expression which parallels the Shannon lower bound for difference distortion measures. For example, for an input-weighted squared error distortion measure d(x,y)=||W(x)(y-x)||2,y,x∈Rn, the asymptotic expression for the rate-distortion function of X∈Rn at distortion level D equals h(X)-2 /nlog(2πeD/n)+Elog|detW(X)| where h(X) is the differential entropy of X. Extensions to stationary sources and to high-resolution remote (“noisy”) source coding are also given
  • Keywords
    entropy; rate distortion theory; source coding; asymptotic behavior; asymptotic expression; asymptotically tight expression; high-resolution remote source coding; high-resolution source coding; input-weighted squared error distortion measure; nondifference distortion measures; random vector; rate-distortion function; stationary sources; Distortion measurement; Entropy; Frequency measurement; Lattices; Linear predictive coding; Quantization; Rate-distortion; Signal analysis; Signal design; Source coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.749001
  • Filename
    749001