Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Joint Source-Channel Decoding of Correlated Sources over Noisy Channels
DCC '01 Proceedings of the Data Compression Conference
Design of Slepian-Wolf Codes by Channel Code Partitioning
DCC '04 Proceedings of the Conference on Data Compression
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding
DCC '04 Proceedings of the Conference on Data Compression
DCC '04 Proceedings of the Conference on Data Compression
LDGM codes for channel coding and joint source-channel coding of correlated sources
EURASIP Journal on Applied Signal Processing
Systematic lossy source/channel coding
IEEE Transactions on Information Theory
Distributed arithmetic coding for the Slepian-Wolf problem
IEEE Transactions on Signal Processing
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We review the interpretation of the Slepian-Wolf result for compression of correlated sources as a problem of channel coding with side information. Based on this review, we propose a method that allows the use of practical error correcting codes of fixed length to achieve performance close to any point in the Slepian-Wolf boundary without the use of explicit time-sharing arguments. The performance of the proposed approach when turbo codes are utilized is shown by simulations.