Weighted sum code without carries — Is an optimum code with detection of any double errors in data vectors

V. Sapozhnikov, D. Efanov, V. Sapozhnikov, V. Dmitriev
{"title":"Weighted sum code without carries — Is an optimum code with detection of any double errors in data vectors","authors":"V. Sapozhnikov, D. Efanov, V. Sapozhnikov, V. Dmitriev","doi":"10.1109/EWDTS.2016.7807686","DOIUrl":null,"url":null,"abstract":"The article provides a method of building the sum code, that detects any errors of double multiplicity in data vectors. This characteristic can be effectively used for organizing the concurrent error detection (CED) systems of combinational logic circuits. The paper explains new sum code characteristics, and also states the properties of this code for error detection in data vectors. Also there is a comparison of a new sum code with the classic Hamming code, also having this characteristic to detect any double errors. Theoretical results are complemented with experimental studies with the system of check combinational circuits MCNC Benchmarks.","PeriodicalId":364686,"journal":{"name":"2016 IEEE East-West Design & Test Symposium (EWDTS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE East-West Design & Test Symposium (EWDTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EWDTS.2016.7807686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The article provides a method of building the sum code, that detects any errors of double multiplicity in data vectors. This characteristic can be effectively used for organizing the concurrent error detection (CED) systems of combinational logic circuits. The paper explains new sum code characteristics, and also states the properties of this code for error detection in data vectors. Also there is a comparison of a new sum code with the classic Hamming code, also having this characteristic to detect any double errors. Theoretical results are complemented with experimental studies with the system of check combinational circuits MCNC Benchmarks.
不带进位的加权和代码-是一种检测数据向量中任何双重错误的最佳代码
本文提供了一种构建和代码的方法,该方法可以检测数据向量中任何双重多重性的错误。这一特性可以有效地用于组合逻辑电路并发错误检测系统的组织。本文解释了新的和码的特征,并说明了这种和码在数据向量中错误检测的特性。还有一个新的和代码与经典的汉明码的比较,也有这种特性来检测任何双重错误。理论结果与MCNC基准测试系统的实验研究相辅相成。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信