An optimal distributed and adaptive source coding strategy using rate-compatible punctured convolutional codes

被引:0
|
作者
Li, J [1 ]
Alqamzi, H [1 ]
机构
[1] Lehigh Univ, Dept Elect & Comp Engn, Allentown, PA 18105 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel scheme exploiting rate-compatible punctured convolutional (RCPC) codes is proposed for distributed and adaptive source coding. The proposed scheme is based on the SF-ISF approach in [9]. It is simple, general, flexible, and provenly optimal. For the class of RCPC codes that are obtained from puncturing the parity bits of a recursive systematic convolutional (RSC) mother code, it is shown that an "optimal" codec exists where a single source encoder and a single source decoder can accommodate a set of different compression rates efficiently.
引用
收藏
页码:685 / 688
页数:4
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