Quantization of both stationary and nonstationary Gaussian sources with Voronoi constellations
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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 D/sub 4/, E8, and A/sub 16/. 1997 IEEE.
name of conference
IEEE International Symposium on Information Theory
Proceedings of IEEE International Symposium on Information Theory
author list (cited authors)
Pepin, C., Belfiore, J., & Boutros, J.
complete list of authors
Pepin, C||Belfiore, J-C||Boutros, J