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
Compression of Correlated Sources Using LDPC Codes
DCC '03 Proceedings of the Conference on Data Compression
Robust Predictive Coding and the Wyner-Ziv Problem
DCC '03 Proceedings of the Conference on Data Compression
Wyner-Ziv Coding for Video: Applications to Compression and Error Resilience
DCC '03 Proceedings of the Conference on Data Compression
Design of Optimal Quantizers for Distributed Source Coding
DCC '03 Proceedings of the Conference on Data Compression
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Optimal Code Design for Lossless and Near Lossless Source Coding in Multiple Access Networks
DCC '01 Proceedings of the Data Compression Conference
Successive Refinement for the Wyner-Ziv Problem and Layered Code Design
DCC '04 Proceedings of the Conference on Data Compression
On Multiterminal Source Code Design
DCC '05 Proceedings of the Data Compression Conference
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Duality between source coding and channel coding and its extension to the side information case
IEEE Transactions on Information Theory
Multi-view codec with low-complexity encoding for Distributed Video Coding
Multimedia Tools and Applications
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In this paper, we address the problem of distributed coding of three correlated memoryless binary and Gaussian sources using punctured Turbo Codes. We first revisit the problem of coding with side information of two binary and Gaussian sources. The problem of coding continuous-valued Gaussian sources with partial side information is considered. The impact of the distortion induced by the quantization of the side information on the performance of the coding system is analyzed. Theoretical bounds as well as practical coding performances of source coding with partial side information are given. This leads to the derivation of appropriate settings for the problem of distributed coding of three sources. Rate bounds for the problems of coding with side information of three binary or Gaussian sources are derived. Practical solutions based on punctured Turbo Codes are provided. Simulation results are presented and analyzed for different amounts of correlation.