• DocumentCode
    892729
  • Title

    Geometric source coding and vector quantization

  • Author

    Fischer, Thomas R.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    35
  • Issue
    1
  • fYear
    1989
  • fDate
    1/1/1989 12:00:00 AM
  • Firstpage
    137
  • Lastpage
    145
  • Abstract
    A geometric formulation is presented for source coding and vector quantizer design. Motivated by the asymptotic equipartition principle, the authors consider two broad classes of source codes and vector quantizers: elliptical codes and quantizers based on the Gaussian density function, and pyramid codes and quantizers based on the Laplacian density function. Elliptical and weighted pyramid vector quantizers are developed by selecting codewords as points in a lattice that lie on (or near) a specified ellipse or pyramid. The combination of geometric structure and lattice basis allows simple encoding and decoding algorithms
  • Keywords
    data compression; encoding; Gaussian density function; Laplacian density function; asymptotic equipartition principle; data compression; decoding; elliptical codes; encoding; geometric formulation; pyramid codes; source coding; vector quantization; vector quantizers; Algorithm design and analysis; Clustering algorithms; Decoding; Encoding; Entropy; Iterative algorithms; Laplace equations; Lattices; Source coding; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.42184
  • Filename
    42184