Rate-adaptive BCH coding for Slepian-Wolf coding of highly correlated sources

Søren Forchhammer, Matteo Salmistraro, Knud J. Larsen, Xin Huang, Huynh Van Luong

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This paper considers using BCH codes for distributed source coding using feedback. The focus is on coding using short block lengths for a binary source, X, having a high correlation between each symbol to be coded and a side information, Y, such that the marginal probability of each symbol, Xi in X, given Y is highly skewed. In the analysis, noiseless feedback and noiseless communication are assumed. A rate-adaptive BCH code is presented and applied to distributed source coding. Simulation results for a fixed error probability show that rate-adaptive BCH achieves better performance than LDPCA (Low-Density Parity-Check Accumulate) codes for high correlation between source symbols and the side information.
Original languageEnglish
Title of host publication2012 Data Compression Conference
Publication date2012
ISBN (Print)978-1-4673-0715-4
Publication statusPublished - 2012
EventData Compression Conference (DCC) - Snowbird, UT, United States
Duration: 10 Apr 201212 Apr 2012


ConferenceData Compression Conference (DCC)
CountryUnited States
CitySnowbird, UT
Internet address

Cite this

Forchhammer, S., Salmistraro, M., Larsen, K. J., Huang, X., & Luong, H. V. (2012). Rate-adaptive BCH coding for Slepian-Wolf coding of highly correlated sources. In 2012 Data Compression Conference (pp. 237-246 ). IEEE. https://doi.org/10.1109/DCC.2012.31