• DocumentCode
    1390808
  • Title

    Constrained-storage quantization of multiple vector sources by codebook sharing

  • Author

    Chan, Wai-Yip ; Gersho, Allen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    39
  • Issue
    1
  • fYear
    1991
  • fDate
    1/1/1991 12:00:00 AM
  • Firstpage
    11
  • Lastpage
    13
  • Abstract
    A codebook sharing technique, called constrained storage vector quantization (CSVQ), is introduced. This technique offers a convenient and optimal way of trading off performance against storage. The technique can be used in conjunction with tree-structured vector quantization (VQ) and other structured VQ techniques that alleviate the search complexity obstacle. The effectiveness of CSVQ is illustrated for coding transform coefficients of audio signals with multistage VQ
  • Keywords
    audio signals; data compression; encoding; CSVQ; audio signals; codebook sharing; coding; constrained storage vector quantization; multiple vector sources; transform coefficients; tree-structured vector quantization; Books; Degradation; Distortion measurement; Encoding; Loss measurement; Rate-distortion; Signal design; Signal resolution; Statistics; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.68269
  • Filename
    68269
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1390808