• DocumentCode
    970353
  • Title

    On the support of fixed-rate minimum mean-squared error scalar quantizers for a Laplacian source

  • Author

    Na, Sangsin

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea
  • Volume
    50
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    937
  • Lastpage
    944
  • Abstract
    This correspondence shows that the support growth of a fixed-rate optimum (minimum mean-squared error) scalar quantizer for a Laplacian density is logarithmic with the number of quantization points. Specifically, it is shown that, for a unit-variance Laplacian density, the ratio of the support-determining threshold of an optimum quantizer to 3/√2lnN/2 converges to 1, as the number N of quantization points grows. Also derived is a limiting upper bound that says that the support-determining threshold cannot exceed the logarithmic growth by more than a small constant, e.g., 0.0669. These results confirm the logarithmic growth of the optimum support that has previously been derived heuristically.
  • Keywords
    Laplace equations; least mean squares methods; quantisation (signal); Laplacian source density; asymptotic quantization; fixed-rate minimum mean-squared error scalar quantizers; log-linearity; support region; support-determining threshold; Laplace equations; Probability density function; Quantization; Random variables; Source coding; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2004.826686
  • Filename
    1291745