New schedules for information processing in turbo decoding

被引：0
|
作者：
Meshkat, P [1 ]
Villasenor, JD [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA
来源：
1998 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/ISIT.1998.708707
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The framework of Bayesian networks has been used to introduce new ways for decoding parallel concatenated convolutional (turbo) codes. Simulation results show that a noisy received block which does not converge using traditional turbo decoding can converge to the correct value with one or more of the methods introduced here.
引用
收藏
页码：118 / 118
页数：1
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