Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Generalized Multiple Description Vector Quantization
DCC '99 Proceedings of the Conference on Data Compression
Multiple Description Lattice Vector Quantization
DCC '99 Proceedings of the Conference on Data Compression
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Multiple description lattice vector quantization (MDLVQ) is a technique for two-channel multiple description coding. We observe that MDLVQ, in the form introduced by Servetto, Vaishampayan and Sloane in 1999, is inherently optimized for the central decoder; i.e., for a zero probability of a lost description. With a nonzero probability of description loss, performance is improved by modifying the encoding rule (using nearest neighbors with respect to 驴multiple description distance驴) and by perturbing the lattice codebook. The perturbation maintains much symmetry and hence does not significantly affect encoding or decoding complexity. An extension to more than two descriptions with attractive decoding properties is outlined.