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.
|Title of host publication||2012 Data Compression Conference|
|Publication status||Published - 2012|
|Event||Data Compression Conference (DCC) - Snowbird, UT, United States|
Duration: 10 Apr 2012 → 12 Apr 2012
|Conference||Data Compression Conference (DCC)|
|Period||10/04/2012 → 12/04/2012|
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