Title :
Lattice quantization with side information
Author :
Servetto, Sergio D.
Author_Institution :
Lab. de Commun. Audiovisuelles, Ecole Polytech. Federale de Lausanne, Switzerland
Abstract :
We consider the design of lattice vector quantizers for the problem of coding Gaussian sources with uncoded side information available only at the decoder. The design of such quantizers can be reduced to the problem of finding an appropriate sublattice of a given lattice codebook. We study the performance of the resulting quantizers in the limit as the encoding rate becomes high, and we evaluate these asymptotics for three lattices of interest: the hexagonal lattice A2, the Gosset lattice E8, and the Leech lattice Λ24. We also verify these asymptotics numerically, via computer simulations based on the lattice A2. Surprisingly, the lattice E8 achieves the best performance of all cases considered
Keywords :
Gaussian channels; decoding; lattice theory; source coding; table lookup; vector quantisation; Gaussian source coding; Gosset lattice; Leech lattice; computer simulations; decoder; hexagonal lattice; lattice codebook; lattice vector quantizers; performance; side information; sublattice; Character generation; Lattices; Quantization;
Conference_Titel :
Data Compression Conference, 2000. Proceedings. DCC 2000
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-0592-9
DOI :
10.1109/DCC.2000.838191