• DocumentCode
    2165445
  • Title

    Comparing performance of entropy constrained scalar quantizer and other scalar quantizers

  • Author

    Kim, Anna N. ; Ramstad, Tor A.

  • Author_Institution
    Dept. of Telecommun., NTNU, Trondheim, Norway
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1341
  • Abstract
    The optimal entropy constrained scalar quantizer (ECSQ) gives the best possible rate-distortion performance of any scalar quantizer. While at high bit rates the optimal ECSQ converges to the uniform quantizer, optimization at low-bit regions demands usually numerical solutions with high complexity. The performance of optimal ECSQ is compared with three simpler scalar quantization configurations: uniform threshold quantizer, uniform quantizer with Wiener filter and the zero input correlation quantizer with Wiener filter. Gaussian distributed inputs are used in the simulations. Results show that the simpler quantizers, are able to match the optimal ECSQ performance, even at low bit rates while the uniform quantizer with Wiener filter provides the simplest configuration.
  • Keywords
    Wiener filters; entropy; filtering theory; optimisation; quantisation (signal); rate distortion theory; Gaussian distributed inputs; Wiener filter; optimal entropy constrained scalar quantizer; rate-distortion performance; uniform threshold quantizer; zero input correlation quantizer; Additive noise; Bit rate; Distortion measurement; Entropy; Nonlinear equations; Quantization; Random variables; Rate-distortion; Signal representations; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
  • Print_ISBN
    0-7803-7503-3
  • Type

    conf

  • DOI
    10.1109/ICDSP.2002.1028342
  • Filename
    1028342