DocumentCode :
1505414
Title :
Multiple-description vector quantization with lattice codebooks: design and analysis
Author :
Vaishampayan, Vinay A. ; Sloane, N. J A ; Servetto, Sergio D.
Author_Institution :
AT&T Shannon Lab., Florham Park,NJ, USA
Volume :
47
Issue :
5
fYear :
2001
fDate :
7/1/2001 12:00:00 AM
Firstpage :
1718
Lastpage :
1734
Abstract :
The problem of designing a multiple-description vector quantizer with lattice codebook Λ 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 A2 and Zi, 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 (PDF) p and differential entropy h(p)<∞. For any a ε (0, 1) and rate pair (R, R), it is shown that the two-channel distortion d¯o and the channel 1 (or channel 2) distortion d¯s satisfy limR→∞o22R(1+a) =¼G(Λ)22h(p) and limR→∞ s22R(1-a)=G(SL)22h(p) where G(Λ) is the normalized second moment of a Voronoi cell of the lattice Λ and G(SL) is the normalized second moment of a sphere in L dimensions
Keywords :
memoryless systems; probability; source coding; vector quantisation; PDF; Voronoi cell; differential entropy; high-rate squared-error distortions; labeling algorithm; labeling problem solution; lattice codebooks; memoryless source; multiple-description VQ; multiple-description vector quantization; normalized second moment; probability density function; source coding; sphere; two-channel distortion; Degradation; Density measurement; Distortion measurement; Entropy; Labeling; Laboratories; Lattices; Probability density function; Source coding; Vector quantization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.930913
Filename :
930913
Link To Document :
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