Serial turbo coding for data compression and the Slepian-Wolf problem

被引：10
|
作者：
Deslauriers, I [1 ]
Bajcsy, J [1 ]
机构：
[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
来源：
2003 IEEE INFORMATION THEORY WORKSHOP, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/ITW.2003.1216752
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a data compression scheme based on serial turbo coding using finite state machine (FSM) encoders and iterative decoding. The scheme is applied to the fixed length to fixed length compression of a single memoryless source, the Slepian-Wolf problem of separate encoding of correlated sources and joint source-channel coding. Simulation results are presented to document its efficiency.
引用
收藏
页码：296 / 299
页数：4
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