• DocumentCode
    1552857
  • Title

    Efficient algorithm for channel-optimised vector quantisation

  • Author

    Han, Jong-Ki ; Kim, Hyung-Myung

  • Author_Institution
    Joong-Ang R&D Centre, Samsung Electron., Suwon, South Korea
  • Volume
    35
  • Issue
    16
  • fYear
    1999
  • fDate
    8/5/1999 12:00:00 AM
  • Firstpage
    1305
  • Lastpage
    1306
  • Abstract
    An efficient method is presented for increasing the speed of the clustering process for channel-optimised vector quantisation (COVQ), in which the Hamming distances between the indices of codevectors are utilised. Simulation results demonstrate that with a small increase in pre-processing and memory costs, the training time of the new algorithm has been reduced significantly while the encoding quality remains unchanged
  • Keywords
    computational complexity; iterative methods; vector quantisation; Hamming distances; channel-optimised VQ; channel-optimised vector quantisation; clustering process; codevectors; encoding quality; fast clustering algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19990920
  • Filename
    790014
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1552857