• DocumentCode
    756138
  • Title

    Achieving the Gaussian Rate–Distortion Function by Prediction

  • Author

    Zamir, Ram ; Kochman, Yuval ; Erez, Uri

  • Author_Institution
    Dept. Electr. Eng.-Syst., Tel-Aviv Univ., Ramat-Aviv
  • Volume
    54
  • Issue
    7
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    3354
  • Lastpage
    3364
  • Abstract
    The ldquowater-fillingrdquo solution for the quadratic rate-distortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula naturally lends itself to a frequency domain ldquotest-channelrdquo realization. We provide an alternative time-domain realization for the rate-distortion function, based on linear prediction. The predictive test channel has some interesting implications, including the optimality at all distortion levels of pre/post filtered vector-quantized differential pulse-code modulation (DPCM), and a duality relationship with decision-feedback equalization (DFE) for intersymbol interference (ISI) channels.
  • Keywords
    Gaussian processes; decision feedback equalisers; differential pulse code modulation; intersymbol interference; rate distortion theory; Gaussian rate-distortion function; decision-feedback equalization; differential pulse- code modulation; duality relationship; intersymbol interference channels; power spectrum; predictive test channel; stationary Gaussian source; time-domain realization; water-filling solution; AWGN; Additive white noise; Frequency domain analysis; Gaussian noise; Intersymbol interference; Mutual information; Pulse modulation; Rate-distortion; Resource description framework; Testing; Decision feedback; Shannon lower bound; differential pulse-code modulation (DPCM); directed-information; entropy coded dithered quantization (ECDQ); equalization; minimum mean-square error (MMSE) estimation; pre/post-filtering; test channel; water-filling;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2008.924683
  • Filename
    4545003