Title :
Quantization of both stationary and nonstationary Gaussian sources with Voronoi constellations
Author :
Pépin, Christine ; Belfiore, Jean-Claude ; Boutros, Joseph
Author_Institution :
Dept. of Commun., Ecole Nat. Superieure des Telecommun., Paris, France
fDate :
29 Jun-4 Jul 1997
Abstract :
This paper is concerned with the use of Voronoi constellations for vector quantization of stationary and nonstationary Gaussian sources. First, stationary Gaussian sources are treated. The mean-squared error (MSE) criterion is used as the distortion measure and approximations for the granular and the overload MSE are derived. Then, nonstationary Gaussian sources are introduced. A new technique for quantization using a weighted metric and a high-diversity Voronoi constellation as the codebook is presented. Each part provides simulation results for Voronoi constellations based on D4, E8, and A16
Keywords :
Gaussian processes; image coding; least mean squares methods; rate distortion theory; transform coding; vector quantisation; MSE criterion; approximations; codebook; distortion measure; granular MSE; high-diversity Voronoi constellation; mean-squared error; nonstationary Gaussian sources; overload MSE; simulation results; stationary Gaussian sources; transform encoded image; vector quantization; weighted metric; Constellation diagram; Encoding; Laplace equations; Large-scale systems; Lattices; Noise reduction; Probability; Rate-distortion; Statistics; Vector quantization;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.612974
