• DocumentCode
    2938368
  • Title

    Vector quantization of spherically invariant random processes

  • Author

    Muller, Frank ; Geischlager, Franz

  • Author_Institution
    Inst. fur Elektrische Nachrichtentech., Aachen Univ. of Technol., Germany
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    439
  • Abstract
    Vector quantization of spherically invariant random processes (SIRP) is considered. Especially, trellis coded quantization (TCQ) and lattice vector quantization (LVQ) are investigated. For performance evaluations a random number generator has been developed producing sequences which can be regarded as SIRP realizations. It turns out that in most cases the TCQ outperforms all other investigated quantization methods, even those LVQ schemes which are matched to the properties of SIRP sources. Comparisons with bounds from rate distortion theory are given as well
  • Keywords
    estimation theory; random number generation; random processes; rate distortion theory; trellis codes; vector quantisation; LVQ; SIRP; TCQ; lattice vector quantization; performance evaluation; quantization methods; random number generator; rate distortion theory; sequences; spherically invariant random processes; trellis coded quantization; vector quantization; Lattices; Random processes; Rate-distortion; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.550426
  • Filename
    550426