• DocumentCode
    1183600
  • Title

    Optimization of the index assignments for multiple description vector quantizers

  • Author

    Görtz, Norbert ; Leelapornchai, Pornchai

  • Author_Institution
    Inst. for Commun. Eng., Munich Univ. of Technol., Germany
  • Volume
    51
  • Issue
    3
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    336
  • Lastpage
    340
  • Abstract
    The optimization criterion and a practically feasible new algorithm is stated for the optimization of the index assignments of a multiple-description unconstrained vector quantizer with an arbitrary number of descriptions. In the simulations, the index-optimized multiple-description vector quantizer achieves significant gains in source signal-to-noise ratio over scalar multiple description schemes.
  • Keywords
    optimisation; vector quantisation; index assignments; index-optimized multiple-description vector quantizer; multiple description vector quantizers; optimization criterion; source signal-to-noise ratio; Communications Society; Decoding; Helium; Lattices; Signal Processing Society; Signal processing algorithms; Signal to noise ratio; Tree data structures; Vector quantization; Video signal processing;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2003.809727
  • Filename
    1194435