Signature analysis under a delay fault model

J. Saxena, D. Pradhan
{"title":"Signature analysis under a delay fault model","authors":"J. Saxena, D. Pradhan","doi":"10.1109/EDAC.1992.205940","DOIUrl":null,"url":null,"abstract":"A framework for aliasing under a delay fault model is presented. First, error patterns under this fault model are characterized. Through this, specific error patterns that can occur are identified. Based on this, it is shown that using a model similar to the equiprobable model, the aliasing probability under certain conditions converges to 2/sup -m/ for delay faults as well. A closed form expression for aliasing under an independent error model is also derived. This expression is shown to yield better theoretical estimates of the aliasing probability.<<ETX>>","PeriodicalId":285019,"journal":{"name":"[1992] Proceedings The European Conference on Design Automation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings The European Conference on Design Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAC.1992.205940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

A framework for aliasing under a delay fault model is presented. First, error patterns under this fault model are characterized. Through this, specific error patterns that can occur are identified. Based on this, it is shown that using a model similar to the equiprobable model, the aliasing probability under certain conditions converges to 2/sup -m/ for delay faults as well. A closed form expression for aliasing under an independent error model is also derived. This expression is shown to yield better theoretical estimates of the aliasing probability.<>
时延故障模型下的特征分析
提出了一种延迟故障模型下的混叠框架。首先,对该故障模型下的误差模式进行了表征。通过这种方法,可以识别可能发生的特定错误模式。在此基础上,利用类似于等概率模型的模型,在一定条件下延迟故障的混叠概率也收敛于2/sup -m/。推导了独立误差模型下混叠的封闭表达式。这个表达式被证明可以产生更好的混叠概率的理论估计。
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:604180095
Book学术官方微信