• DocumentCode
    2623345
  • Title

    Design of entropy-constrained quantizers based on coset codes

  • Author

    Lee, Cheng- Chieh ; Farvardin, Nariman

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    234
  • Abstract
    Asymptotic vector quantization (VQ) theory indicates that at high rates, the optimal VQ uniformly places its reproduction vectors in the high dimensional space in a manner that each of the quantization cells is made as spherical as possible. As compared with scalar quantizers whose quantization cells are cubic, VQ exploits the space-filling efficiency of its constituent convex polytope and hence achieves the so-called granular gain
  • Keywords
    entropy codes; trellis codes; vector quantisation; asymptotic vector quantization; convex polytope; coset codes; entropy-constrained quantizers; granular gain; high dimensional space; optimal VQ; quantization cells; space-filling efficiency; spherical cells; trellis codes; Binary codes; Convolutional codes; Educational institutions; Encoding; Entropy; Gaussian processes; Lattices; 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.1994.394974
  • Filename
    394974