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Multiple Description Lattice Vector Quantization: Variations and Extensions

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Multiple Description Lattice Vector Quantization: Variations and Extensions
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 “multiple description distance”) and by perturbing the lattice codebook. The perturbation maintains many symmetries and hence does not significantly effect encoding or decoding complexity. An extension to more than two descriptions with attractive decoding properties is outlined.
Jonathan A. Kelner, Vivek K. Goyal, Jelena Kovacev
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2000
Where DCC
Authors Jonathan A. Kelner, Vivek K. Goyal, Jelena Kovacevic
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