Zero-Error Codes for Correlated Information Sources
Proceedings of the 6th IMA International Conference on Cryptography and Coding
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
Joint Source-Channel Decoding of Correlated Sources over Noisy Channels
DCC '01 Proceedings of the Data Compression Conference
Distributed coding of highly correlated image sequences with motion-compensated temporal wavelets
EURASIP Journal on Applied Signal Processing
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We consider the case of two correlated non-binary sources. Data compression is achieved by transforming the sequences of non-binary symbols into sequences of bits and then using punctured turbo codes as source encoders. Each source is compressed without knowledge about the other source, and no information about the correlation between sources is required in the encoding process. Compression is achieved because of puncturing, which is adjusted to obtain the desired compression rate. The source decoder utilizes iterative schemes over the compressed binary sequences, and recovers the non-binary symbol sequences from both sources. The performance of the proposed scheme is close to the theoretical limit predicted by the Slepian-Wolf theorem.