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 :
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