Analysis on crossover probability estimation using LDPC syndrome

作     者：FANG Yong College of Information Engineering,Northwest A&F University,Yangling 712100,China 

作者机构：1. College of Information Engineering Northwest A&F University Yangling 712100 China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2011年第54卷第9期

页      面：1895-1904页

核心收录：

学科分类：07[理学] 08[工学] 070104[理学-应用数学] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos.61001100,61077009,60975007) the Provincial Science Foundation of Shaanxi,China (Grant Nos. 2010K06-15,2010JQ8019) 

主　　题：distributed source coding Slepian-Wolf coding LDPC syndrome correlation estimation 

摘      要：Correlation estimation is a critical issue that impacts the application of Slepian-Wolf coding (SWC) in *** online correlation estimation is a type of newly-appearing approaches,in which the decoder estimates the virtual correlation channel between two correlated sources using both side information and the compressed SWC bitstream of the *** the compressed SWC bitstream usually contains partial information of the source,the emergence of dynamic online correlation estimation is helpful to solving the problem of correlation estimation in the SWC and further makes the SWC ***,the SWC is usually implemented by LDPC *** this case,the SWC bitstream is just the LDPC syndrome of the *** has been revealed that there are residual redundancies in LDPC syndromes,which can be used to estimate the crossover probability between two correlated binary ***,this algorithm has not been well justified *** paper makes use of the central limit theorem (CLT) to establish a mathematic model for analyzing the performance of this ***,for irregular LDPC codes,the optimization of weight vectors is discussed in *** experimental results are provided to validate the analysis.