Asymptotic Performance Of Multiple Description Lattice Quantizers

2000 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS(2000)

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摘要
The high-rate squared-error distortions of a balanced multiple description lattice vector quantizer are analyzed for a memoryless source with probability density function p, differential entropy h(p) < infinity, and lattice codebook Lambda. For any a is an element of (0, 1) and rate pair (R,R), it is shown that the two-channel distortion (d) over bar (0) and the channel 1 (or channel 2) distortion (d) over bar (s) satisfylim(R --> infinity) (d) over bar (0)2(2R(1+a)) = G(Lambda )2(2h(p))/4andlim(R --> infinity) (d) over bar (s)2(2R(1-a)) = G(S-L)2(2h(p)),where G(Lambda) is the normalieed 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.
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关键词
lattices,probability,density functional theory,differential entropy,data compression,labeling,probability density function,quantization,satisfiability,entropy,decoding,rate distortion theory
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