• DocumentCode
    3012348
  • Title

    Sensitivity of the rate-distortion function of stationary continuous-time Gaussian processes to non-Gaussian contamination

  • Author

    Pinsker, Mark S. ; Prelov, Vyacheslav V. ; Verdu, Sergio

  • Author_Institution
    Inst. of Inf. Transmission Problems, Acad. of Sci., Moscow, Russia
  • fYear
    1997
  • fDate
    29 Jun-4 Jul 1997
  • Firstpage
    73
  • Abstract
    Let S(N,Z) be the sensitivity of the rate-distortion function (relative to the mean-square-error criterion) of a continuous-time stationary Gaussian process N=N(t) to non-Gaussian contamination Z=Z(t). We prove that for any entropy-regular process Z the equality S(N,Z)=S(N,Z*) holds, where Z*=Z*(t) is a stationary Gaussian process with the same autocorrelation function as Z. An explicit expression for S(N,Z) in the terms of the spectral densities of N and Z is also derived. We also prove that S(N,Z)=0 for any entropy-singular process Z
  • Keywords
    Gaussian processes; continuous time systems; correlation methods; entropy; least mean squares methods; rate distortion theory; sensitivity; spectral analysis; autocorrelation function; entropy-regular process; entropy-singular process; mean-square-error criterion; nonGaussian contamination; rate-distortion function sensitivity; spectral densities; stationary continuous-time Gaussian processes; Autocorrelation; Conferences; Entropy; Equations; Gaussian channels; Gaussian processes; Rate-distortion; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-7803-3956-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1997.612988
  • Filename
    612988