• DocumentCode
    327352
  • Title

    Insensitivity of adaptive quantization to model estimation in subband coding

  • Author

    Jornsten, Rebecka ; Bin Yu

  • Author_Institution
    Dept. of Stat., California Univ., Berkeley, CA, USA
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    371
  • Abstract
    In wavelet subband coding, scalar adaptive quantization is found to be insensitive to model estimation. That is, adaptive quantization schemes via different model estimation routes lead to similar distortion performances. In particular, two analyses are provided to substantiate this finding. One corresponds to adaptation with overhead (non-parametric and continuous data) and the other corresponds to adaptation without overhead (parametric and quantized data)
  • Keywords
    adaptive codes; parameter estimation; quantisation (signal); transform coding; wavelet transforms; continuous data; distortion performance; model estimation; nonparametric data; overhead; parametric data; quantized data; scalar adaptive quantization; wavelet subband coding; Convergence; Laplace equations; Maximum likelihood estimation; Parameter estimation; Parametric statistics; Performance analysis; Performance evaluation; Quantization; Testing; Wavelet coefficients;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.708976
  • Filename
    708976