基于svd的高速互连因果傅里叶延拓延迟估计

L. Barannyk, H. Tran, Linh Nguyen, A. Elshabini, F. Barlow
{"title":"基于svd的高速互连因果傅里叶延拓延迟估计","authors":"L. Barannyk, H. Tran, Linh Nguyen, A. Elshabini, F. Barlow","doi":"10.1109/EPEPS.2015.7347167","DOIUrl":null,"url":null,"abstract":"We propose a new method for time delay extraction in the frequency domain. It is based on the spectrally accurate method for causality characterization that employs singular value decomposition (SVD) based Fourier continuations, which was recently developed by the authors. The time delay estimation approach is constructed by incorporating a linearly varying phase factor. Several analytic and simulated examples are used to demonstrate performance of the proposed technique.","PeriodicalId":130864,"journal":{"name":"2015 IEEE 24th Electrical Performance of Electronic Packaging and Systems (EPEPS)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Delay estimation using SVD-based causal fourier continuations for high speed interconnects\",\"authors\":\"L. Barannyk, H. Tran, Linh Nguyen, A. Elshabini, F. Barlow\",\"doi\":\"10.1109/EPEPS.2015.7347167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new method for time delay extraction in the frequency domain. It is based on the spectrally accurate method for causality characterization that employs singular value decomposition (SVD) based Fourier continuations, which was recently developed by the authors. The time delay estimation approach is constructed by incorporating a linearly varying phase factor. Several analytic and simulated examples are used to demonstrate performance of the proposed technique.\",\"PeriodicalId\":130864,\"journal\":{\"name\":\"2015 IEEE 24th Electrical Performance of Electronic Packaging and Systems (EPEPS)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 24th Electrical Performance of Electronic Packaging and Systems (EPEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEPS.2015.7347167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 24th Electrical Performance of Electronic Packaging and Systems (EPEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEPS.2015.7347167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

提出了一种新的频域时延提取方法。它基于基于奇异值分解(SVD)的傅立叶延拓的频谱精确因果关系表征方法,这是作者最近开发的。通过引入线性变化的相位因子,构造了时延估计方法。通过分析和仿真实例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delay estimation using SVD-based causal fourier continuations for high speed interconnects
We propose a new method for time delay extraction in the frequency domain. It is based on the spectrally accurate method for causality characterization that employs singular value decomposition (SVD) based Fourier continuations, which was recently developed by the authors. The time delay estimation approach is constructed by incorporating a linearly varying phase factor. Several analytic and simulated examples are used to demonstrate performance of the proposed technique.
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
×
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