• DocumentCode
    1566534
  • Title

    Low Rate Uniform Scalar Quantization of Memoryless Gaussian Sources

  • Author

    Sheinin, V. ; Jagmohan, A.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
  • fYear
    2006
  • Firstpage
    793
  • Lastpage
    796
  • Abstract
    The low-rate (<;1 bits per sample) operational rate-distortion performance of uniform scalar quantizers for the memoryless Gaussian source is studied. Approximate analytical expressions for the operational rate-distortion function are derived, and the accuracy of the derived function is verified through simulation. It is shown that in the zero-rate limit the derived operational rate-distortion function is first-order optimal with respect to the Shannon lower bound. The derived function is used to study the performance of uniform scalar quantizers for the Gaussian Wyner-Ziv problem. Lastly, the derived low-rate rate-distortion function is used to provide improved low-rate bit allocation for jointly Gaussian vectors.
  • Keywords
    Gaussian processes; approximation theory; memoryless systems; quantisation (signal); rate distortion theory; source coding; Shannon lower bound; Wyner-Ziv problem; approximate analytical expression; memoryless Gaussian source; operational rate-distortion performance; uniform scalar quantization; Analytical models; Bit rate; Entropy; History; Iterative algorithms; Performance analysis; Quantization; Random variables; Rate-distortion; Source coding; Source coding; Wyner-Ziv coding; bit allocation; low-rate coding; memoryless Gaussian source; scalar quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312521
  • Filename
    4106649