Rate-Adaptive BCH Coding for Slepian-Wolf Coding of Highly Correlated Sources

被引：3

作者：

Forchhammer, Soren ^{[1
]}

Salmistraro, Matteo ^{[1
]}

Larsen, Knud J. ^{[1
]}

Huang, Xin ^{[1
]}

Huynh Van Luong ^{[1
]}

机构：

[1] Tech Univ Denmark, DTU Foton, DK-2800 Lyngby, Denmark

来源：

2012 DATA COMPRESSION CONFERENCE (DCC) | 2012年

关键词：

D O I：

10.1109/DCC.2012.31

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：237 / 246

页数：10

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