Rate distortion when side information may be absent
IEEE Transactions on Information Theory
Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Elements of information theory
Elements of information theory
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DCC '99 Proceedings of the Conference on Data Compression
Multiple Description Lattice Vector Quantization
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Systematic lossy source/channel coding
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the interdependence of routing and data compression in multi-hop sensor networks
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Design of Trellis Codes for Source Coding with Side Information at the Decoder
DCC '01 Proceedings of the Data Compression Conference
Distributed coding of three binary and Gaussian correlated sources using punctured turbo codes
Signal Processing - Special section: Distributed source coding
High-rate quantization and transform coding with side information at the decoder
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Low-complexity coding and source-optimized clustering for large-scale sensor networks
ACM Transactions on Sensor Networks (TOSN)
LVQ based distributed video coding with LDPC in pixel domain
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A novel decoding structure in compress-and-forward systems
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Multi-dimensional nested lattice quantization for Wyner-Ziv coding
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A universal scheme for Wyner-Ziv coding of discrete sources
IEEE Transactions on Information Theory
A distributed video coding scheme based on denoising techniques
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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International Journal of Ad Hoc and Ubiquitous Computing
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We consider the design of lattice vector quantizers for the problem of coding Gaussian sources with uncoded side information available only at the decoder. The design of such quantizers can be reduced to the problem of finding an appropriate sublattice of a given lattice codebook. We study the performance of the resulting quantizers in the limit as the encoding rate becomes high, and we evaluate these asymptotics for three lattices of interest: the hexagonal lattice A2 , the Gosset lattice E8 , and the Leech lattice \math . We also verify these asymptotics numerically, via computer simulations based on the lattice A2 . Surprisingly, the lattice E8 achieves the best performance of all cases considered.