English

Multiple Description Vector Quantization with Lattice Codebooks: Design and Analysis

Combinatorics 2016-11-18 v1

Abstract

The problem of designing a multiple description vector quantizer with lattice codebook Lambda is considered. A general solution is given to a labeling problem which plays a crucial role in the design of such quantizers. Numerical performance results are obtained for quantizers based on the lattices A_2 and Z^i, i=1,2,4,8, that make use of this labeling algorithm. The high-rate squared-error distortions for this family of L-dimensional vector quantizers are then analyzed for a memoryless source with probability density function p and differential entropy h(p) < infty. For any a in (0,1) and rate pair (R,R), it is shown that the two-channel distortion d_0 and the channel 1 (or channel 2) distortions d_s satisfy lim_{R -> infty} d_0 2^(2R(1+a)) = (1/4) G(Lambda) 2^{2h(p)} and lim_{R -> infty} d_s 2^(2R(1-a)) = G(S_L) 2^2h(p), where G(Lambda) is the normalized second moment of a Voronoi cell of the lattice Lambda and G(S_L) is the normalized second moment of a sphere in L dimensions.

Keywords

Cite

@article{arxiv.math/0207289,
  title  = {Multiple Description Vector Quantization with Lattice Codebooks: Design and Analysis},
  author = {Vinay A. Vaishampayan and N. J. A. Sloane and Sergio D. Servetto},
  journal= {arXiv preprint arXiv:math/0207289},
  year   = {2016}
}

Comments

46 pages, 14 figures