• DocumentCode
    2623900
  • Title

    Universal source coding with a fidelity criterion

  • Author

    Kurtas, Erozan ; Salehi, Masoud

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    265
  • Abstract
    Proposes a variable rate vector quantization algorithm which can adapt itself to variations in the source statistics by progressively updating the individual codewords. The proposed algorithm optimally parses the incoming source vectors and then quantizes them accordingly. After each quantization step, codeword updating is performed to track changes in the source statistics. No knowledge of the source statistics is assumed and no side information is transmitted
  • Keywords
    source coding; statistical analysis; tracking; variable rate codes; vector quantisation; change tracking; codeword updating; codewords; fidelity criterion; side information; source statistics; source vectors; universal source coding; variable rate vector quantization algorithm; Clustering algorithms; Probability; Source coding; Statistical analysis; Statistics; Sun; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.395005
  • Filename
    395005