Improved syndrome-based ordered statistic decoding algorithm for LDPC codes

Dong Zijian, Liu Fei, Song Yaolian
{"title":"Improved syndrome-based ordered statistic decoding algorithm for LDPC codes","authors":"Dong Zijian, Liu Fei, Song Yaolian","doi":"10.1109/ICSPS.2010.5555626","DOIUrl":null,"url":null,"abstract":"Ordered statistics decoding (OSD) algorithm and syndrome–based decoding algorithm are investigated in this work, based on which, a syndrome-based ordered statistics decoding (SOSD) algorithm for LDPC codes is proposed. The indexed systematic form of parity check matrix is obtained based on the least reliable independent positions (LRIPs) by performing Gaussian eliminations, which promises that the SOSD processing need not the re-encoding process, but only several binary vector additions, therefore achieves noticeable computation complexity reduction.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Ordered statistics decoding (OSD) algorithm and syndrome–based decoding algorithm are investigated in this work, based on which, a syndrome-based ordered statistics decoding (SOSD) algorithm for LDPC codes is proposed. The indexed systematic form of parity check matrix is obtained based on the least reliable independent positions (LRIPs) by performing Gaussian eliminations, which promises that the SOSD processing need not the re-encoding process, but only several binary vector additions, therefore achieves noticeable computation complexity reduction.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
改进的基于证候的LDPC码有序统计解码算法
研究了有序统计解码(OSD)算法和基于证候的解码算法,在此基础上提出了LDPC码的基于证候的有序统计解码(SOSD)算法。通过对最不可靠独立位置(lrip)进行高斯消去,得到了奇偶校验矩阵的索引系统形式,保证了SOSD处理不需要重新编码,只需要几个二进制向量相加,从而显著降低了计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cover page Simulation and character recognition for Plate Marking Machine Syllable segmentation of Telugu document images The characteristics and identification of “oil bright spot” in Chepaizi A general two-dimensional spectrum based on polynomial range model for medium-earth-orbit Synthetic Aperture Radar signal processing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1