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 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 (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→∞d¯o22R(1+a) =¼G(Λ)22h(p) and limR→∞ d¯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
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