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基于信念网络的多维并行级联码的串行译码方法
引用本文:邓家梅,王喆,李明,曹家麟. 基于信念网络的多维并行级联码的串行译码方法[J]. 上海大学学报(英文版), 2000, 4(2): 119-122. DOI: 10.1007/s11741-000-0009-x
作者姓名:邓家梅  王喆  李明  曹家麟
作者单位:1*2。23,ZX,PY-W] Received May 17,1999; Revised Oct.27,1999
摘    要:1 Introduction Theparalleldecodingmethodofaparallelconcatena tionofmultiplecodesispresentedbyDivsalar[1] .Theiterativegainofthismethodneedstobecalculatedbyusingsimulatedannealing .Wepresentanewserialde codingmethodwhoseiterativegainisoneshowninFig .1.Wewill…

收稿时间:1999-05-17

A serial decoding method based on belief network used in a parallel concatenation of multiple codes
Jia-mei Deng,Zhe Wang,Ming Li,Jia-lin Cao. A serial decoding method based on belief network used in a parallel concatenation of multiple codes[J]. Journal of Shanghai University(English Edition), 2000, 4(2): 119-122. DOI: 10.1007/s11741-000-0009-x
Authors:Jia-mei Deng  Zhe Wang  Ming Li  Jia-lin Cao
Affiliation:School of Electromechanical Engineering and Automation, Shanghai University, Shanghai 200072, China
Abstract:The parallel decoding method of a parallel concatenation of multiple codes is well known. In this paper, we present a new serial decoding method. The iterative gain in this method is always one. Therefore, this method does not need optimization of the iterative gain by using simulated annealing like the parallel decoding method. Though it is simpler than the parallel decoding method in calculation, it gives the same performance. We also use Pearl's propagation algorithm to show the appropriateness of the serial decoding method.
Keywords:serial decoding method   belief network   iterative gain
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