Conference paper
Rate-adaptive BCH coding for Slepian-Wolf coding of highly correlated sources
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 237-246 |
| Proceedings: | Data Compression Conference (DCC) |
| ISBN: | 0769546560 , 1467307157 , 9780769546568 and 9781467307154 |
| ISSN: | 23750383 and 10680314 |
| Types: | Conference paper |
| DOI: | 10.1109/DCC.2012.31 |
| ORCIDs: | Forchhammer, Søren and Larsen, Knud J. |
BCH codes Error probability Maximum likelihood decoding Parity check codes Reliability Slepian-Wolf coding Source coding binary codes binary source correlation methods distributed source coding feedback highly correlated source marginal probability noiseless communication noiseless feedback rate adaptive BCH coding side information source coding
