Differential nested lattice encoding for consensus problems
Proceedings of the 6th international conference on Information processing in sensor networks
LVQ based distributed video coding with LDPC in pixel domain
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Adaptive coset partition for distributed video coding
Signal Processing
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This paper examines the high-rate performance of low-dimensional nested latticequantizers for the quadratic Gaussian Wyner-Ziv problem, using a pair of nestedlattices with the same dimensionality. As the rate increases, we observe an increasinggap between the performance of low-dimensional nested lattice quantizers and theWyner-Ziv rate-distortion function. We argue that this gap is due to the relativelyweak channel coding component (or coarse lattice) in the nested lattice pair. Toenhance the lattice channel code and boost the overall performance, Slepian-Wolfcoding is applied to the quantization indices to achieve further compression. Therebya Wyner-Ziv coding paradigm is introduced using Slepian-Wolf coded nested latticequantization (SWC-NQ). Theoretical analysis and simulation results show that, forthe quadratic Gaussian source and at high rate, SWC-NQ performs the same astraditional entropy-constrained lattice quantization with side information availableat both the encoder and decoder.