• DocumentCode
    3410654
  • Title

    Joint codebook design for summation product-code vector quantizers

  • Author

    Chan, Wai-Yip ; Gersho, Allen ; Soong, Sau-Wah

  • Author_Institution
    Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    42
  • Lastpage
    51
  • Abstract
    With respect to the generalized product code (GPC) model for structured vector quantization, multistage VQ (MSVQ) and tree-structured VQ are members of a family of summation product codes (SPCs), defined by the prototypical synthesis function x=f1+···+fs, where fi , i=1, . . ., s are the residual vector features. The authors describe an algorithm paradigm for the joint design of the feature codebooks constituting a GPC. They specialize the paradigm to a joint design algorithm for the SPCs and exhibit experimental results for the MSVQ of simulated sources. The performance improvements over conventional `greedy´ design are essentially `free´ as the only cost is a moderate increase in design complexity
  • Keywords
    computational complexity; vector quantisation; algorithm paradigm; design complexity; feature codebooks; joint design algorithm; performance improvements; structured vector quantization; summation product-code vector quantizers; Aerospace engineering; Algorithm design and analysis; Costs; Councils; Decoding; Design optimization; Encoding; Product codes; Prototypes; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1993. DCC '93.
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-3392-1
  • Type

    conf

  • DOI
    10.1109/DCC.1993.253146
  • Filename
    253146