Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
Lattice Quantization with Side Information
DCC '00 Proceedings of the Conference on Data Compression
Systematic lossy source/channel coding
IEEE Transactions on Information Theory
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Distributed video coding based on part intracoding and soft side information estimation
Multimedia Tools and Applications
Side-information generation for temporally and spatially scalable Wyner-Ziv codecs
Journal on Image and Video Processing - Special issue on distributed video coding
Distributed predictive coding for spatio-temporally correlated sources
IEEE Transactions on Signal Processing
Iterative side-information generation in a mixed resolution Wyner-Ziv framework
IEEE Transactions on Circuits and Systems for Video Technology
Wyner-Ziv coding based on TCQ and LDPC codes
IEEE Transactions on Communications
Robust distributed source coder design by deterministic annealing
IEEE Transactions on Signal Processing
On scalable distributed coding of correlated sources
IEEE Transactions on Signal Processing
Adaptive distributed source coding for multi-view images
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
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Abstract: The problem of source coding with side information at the decoder arises in many practical scenarios. Although this problem has been well characterized in information theory, particularly by the work of Wyner and Ziv, there is still lack of successful algorithms for it. In this paper, we use trellis codes to approach the theoretical limit. An embedded trellis code structure is proposed, and its properties are examined. Using this structure, we can achieve the granular gain at the encoder as well as the coding gain at the decoder. Simulation results show that the proposed scheme outperforms the algorithms reported in the literature. It is also indicated that the performance of the proposed algorithm can approach the information-theoretic limit at high rate as the trellis complexity increases.