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
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年
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.
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收藏
页码：685 / 688
页数：4
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