多通道宽带信号处理的多项式特征值分解:一种提供新见解和解决方案的数学技术

IF 9.4 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Vincent W. Neo;Soydan Redif;John G. McWhirter;Jennifer Pestana;Ian K. Proudler;Stephan Weiss;Patrick A. Naylor
{"title":"多通道宽带信号处理的多项式特征值分解:一种提供新见解和解决方案的数学技术","authors":"Vincent W. Neo;Soydan Redif;John G. McWhirter;Jennifer Pestana;Ian K. Proudler;Stephan Weiss;Patrick A. Naylor","doi":"10.1109/MSP.2023.3269200","DOIUrl":null,"url":null,"abstract":"This article is devoted to the polynomial eigenvalue decomposition (PEVD) and its applications in broadband multichannel signal processing, motivated by the optimum solutions provided by the EVD for the narrowband case \n<xref>[1]</xref>\n, \n<xref>[2]</xref>\n. In general, we would like to extend the utility of the EVD to also address broadband problems. Multichannel broadband signals arise at the core of many essential commercial applications, such as telecommunications, speech processing, health-care monitoring, astronomy and seismic surveillance, and military technologies, including radar, sonar, and communications \n<xref>[3]</xref>\n. The success of these applications often depends on the performance of signal processing tasks, including data compression \n<xref>[4]</xref>\n, source localization \n<xref>[5]</xref>\n, channel coding \n<xref>[6]</xref>\n, signal enhancement \n<xref>[7]</xref>\n, beamforming \n<xref>[8]</xref>\n, and source separation \n<xref>[9]</xref>\n. In most cases and for narrowband signals, performing an EVD is the key to the signal processing algorithm. Therefore, this article aims to introduce the PEVD as a novel mathematical technique suitable for many broadband signal processing applications.","PeriodicalId":13246,"journal":{"name":"IEEE Signal Processing Magazine","volume":"40 7","pages":"18-37"},"PeriodicalIF":9.4000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions\",\"authors\":\"Vincent W. Neo;Soydan Redif;John G. McWhirter;Jennifer Pestana;Ian K. Proudler;Stephan Weiss;Patrick A. Naylor\",\"doi\":\"10.1109/MSP.2023.3269200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article is devoted to the polynomial eigenvalue decomposition (PEVD) and its applications in broadband multichannel signal processing, motivated by the optimum solutions provided by the EVD for the narrowband case \\n<xref>[1]</xref>\\n, \\n<xref>[2]</xref>\\n. In general, we would like to extend the utility of the EVD to also address broadband problems. Multichannel broadband signals arise at the core of many essential commercial applications, such as telecommunications, speech processing, health-care monitoring, astronomy and seismic surveillance, and military technologies, including radar, sonar, and communications \\n<xref>[3]</xref>\\n. The success of these applications often depends on the performance of signal processing tasks, including data compression \\n<xref>[4]</xref>\\n, source localization \\n<xref>[5]</xref>\\n, channel coding \\n<xref>[6]</xref>\\n, signal enhancement \\n<xref>[7]</xref>\\n, beamforming \\n<xref>[8]</xref>\\n, and source separation \\n<xref>[9]</xref>\\n. In most cases and for narrowband signals, performing an EVD is the key to the signal processing algorithm. Therefore, this article aims to introduce the PEVD as a novel mathematical technique suitable for many broadband signal processing applications.\",\"PeriodicalId\":13246,\"journal\":{\"name\":\"IEEE Signal Processing Magazine\",\"volume\":\"40 7\",\"pages\":\"18-37\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2023-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Signal Processing Magazine\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10313230/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Signal Processing Magazine","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10313230/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 1

摘要

本文致力于多项式特征值分解(PEVD)及其在宽带多信道信号处理中的应用,其动机是EVD为窄带情况提供的最优解[1],[2]。总的来说,我们希望扩大电动汽车的效用,以解决宽带问题。多信道宽带信号是许多重要商业应用的核心,如电信、语音处理、医疗保健监测、天文和地震监测,以及军事技术,包括雷达、声纳和通信[3]。这些应用的成功通常取决于信号处理任务的性能,包括数据压缩[4]、源定位[5]、信道编码[6]、信号增强[7]、波束成形[8]和源分离[9]。在大多数情况下,对于窄带信号,执行EVD是信号处理算法的关键。因此,本文旨在介绍PEVD作为一种适用于许多宽带信号处理应用的新型数学技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions
This article is devoted to the polynomial eigenvalue decomposition (PEVD) and its applications in broadband multichannel signal processing, motivated by the optimum solutions provided by the EVD for the narrowband case [1] , [2] . In general, we would like to extend the utility of the EVD to also address broadband problems. Multichannel broadband signals arise at the core of many essential commercial applications, such as telecommunications, speech processing, health-care monitoring, astronomy and seismic surveillance, and military technologies, including radar, sonar, and communications [3] . The success of these applications often depends on the performance of signal processing tasks, including data compression [4] , source localization [5] , channel coding [6] , signal enhancement [7] , beamforming [8] , and source separation [9] . In most cases and for narrowband signals, performing an EVD is the key to the signal processing algorithm. Therefore, this article aims to introduce the PEVD as a novel mathematical technique suitable for many broadband signal processing applications.
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
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine 工程技术-工程:电子与电气
CiteScore
27.20
自引率
0.70%
发文量
123
审稿时长
6-12 weeks
期刊介绍: EEE Signal Processing Magazine is a publication that focuses on signal processing research and applications. It publishes tutorial-style articles, columns, and forums that cover a wide range of topics related to signal processing. The magazine aims to provide the research, educational, and professional communities with the latest technical developments, issues, and events in the field. It serves as the main communication platform for the society, addressing important matters that concern all members.
×
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