• DocumentCode
    1136464
  • Title

    Lattice codebook enumeration for generalized Gaussian source

  • Author

    Loyer, Pierre ; Moureaux, Jean-Marie ; Antonini, Marc

  • Author_Institution
    ALCATEL Space Industries, Cannes-La-Bocca, France
  • Volume
    49
  • Issue
    2
  • fYear
    2003
  • Firstpage
    521
  • Lastpage
    527
  • Abstract
    The goal of this correspondence is to propose a low-complexity enumeration algorithm for lattice vectors, based on a geometrical interpretation and valid for different source distributions, i.e., for different Lp-norms in the range 0n lattice, can be generalized to other lattices like the Dn.
  • Keywords
    Gaussian distribution; convolutional codes; lattice theory; source coding; DSP; L/sub p/-norms; Laplacian enumeration formula; convolutional products; data compression; digital signal processing; generalized Gaussian source; generalized theta-series; geometrical interpretation; lattice codebook enumeration; lattice vectors; low-complexity enumeration algorithm; product code; source distributions; Convolution; Convolutional codes; Digital signal processing; Econometrics; Lattices; Least squares approximation; Maximum likelihood estimation; Signal processing algorithms; Statistics; Wavelet coefficients;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2002.807306
  • Filename
    1176629
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1136464