• DocumentCode
    933319
  • Title

    Analysis of Conditional PDF-Based Split VQ

  • Author

    Chatterjee, Saikat ; Sreenivas, T.V.

  • Author_Institution
    Indian Inst. of Sci., Bangalore
  • Volume
    14
  • Issue
    11
  • fYear
    2007
  • Firstpage
    781
  • Lastpage
    784
  • Abstract
    The split vector quantization (SVQ) method results in a ldquocoding lossrdquo due to the independent quantization of split subvectors. To recover the coding loss, conditional pdf-based split vector quantization methods were proposed recently. For a multivariate Gaussian source, we theoretically derive the expression of rate-distortion (R/D) performance for conditional pdf-based split vector quantization (CSVQ) method, using high rate quantization theory and optimum bit allocation. We also derive the rate-distortion performance expression of traditional SVQ method and, thus, quantify the coding gain of CSVQ method over SVQ method.
  • Keywords
    Gaussian processes; rate distortion theory; vector quantisation; coding loss; multivariate Gaussian source; optimum bit allocation; rate-distortion performance; split subvectors; split vector quantization; Bit rate; Costs; Decoding; Loss measurement; Performance gain; Product codes; Rate-distortion; Source coding; Speech coding; Vector quantization; Conditional pdf; high rate quantization; multivariate Gaussian; split vector quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2007.901685
  • Filename
    4351940