自校正的udp - app解码LDPC码

V. Vityazev, E. Likhobabin
{"title":"自校正的udp - app解码LDPC码","authors":"V. Vityazev, E. Likhobabin","doi":"10.1109/MECO.2016.7525774","DOIUrl":null,"url":null,"abstract":"In this paper we propose a very simple but powerful self-correction method for the UMP-APP decoding of LDPC codes. Like self-corrected min-sum decoding, our method does not try to correct the check node processing approximation, but it modifies the variable node processing by erasing unreliable messages. Monte-Carlo simulations show that the proposed self-corrected UMP-APP decoding performs better then common UMP-APP decoding. Estimation of the complexity and average number of iteration for self-corrected UMP-APP algorithm are also shown.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Self-corrected UMP-APP decoding of LDPC codes\",\"authors\":\"V. Vityazev, E. Likhobabin\",\"doi\":\"10.1109/MECO.2016.7525774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a very simple but powerful self-correction method for the UMP-APP decoding of LDPC codes. Like self-corrected min-sum decoding, our method does not try to correct the check node processing approximation, but it modifies the variable node processing by erasing unreliable messages. Monte-Carlo simulations show that the proposed self-corrected UMP-APP decoding performs better then common UMP-APP decoding. Estimation of the complexity and average number of iteration for self-corrected UMP-APP algorithm are also shown.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

在本文中,我们提出了一种非常简单但功能强大的自校正方法,用于udp - app解码LDPC码。与自校正最小和解码一样,我们的方法并不试图纠正检查节点处理近似,而是通过擦除不可靠的消息来修改可变节点处理。蒙特卡罗仿真结果表明,本文提出的自校正UMP-APP解码比普通的UMP-APP解码性能更好。给出了自校正UMP-APP算法的复杂度估计和平均迭代次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Self-corrected UMP-APP decoding of LDPC codes
In this paper we propose a very simple but powerful self-correction method for the UMP-APP decoding of LDPC codes. Like self-corrected min-sum decoding, our method does not try to correct the check node processing approximation, but it modifies the variable node processing by erasing unreliable messages. Monte-Carlo simulations show that the proposed self-corrected UMP-APP decoding performs better then common UMP-APP decoding. Estimation of the complexity and average number of iteration for self-corrected UMP-APP algorithm are also shown.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Logo watermarking for speech signal protection in the compressive sensing scenario Unaliasing of undersampled spectra Driving behavior simulator of lane changing using user-designed interface Prediction of children diseases using semantics Comparative analysis of classification algorithms on three different datasets using WEKA
×
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