Grouped B-spline windows for power spectral density estimation

L. Stanciu, C. Stanciu
{"title":"Grouped B-spline windows for power spectral density estimation","authors":"L. Stanciu, C. Stanciu","doi":"10.1109/ISSCS.2013.6651176","DOIUrl":null,"url":null,"abstract":"The power spectral density of a signal can be estimated most accurately by using a window that can attain a narrower main lobe width and a higher decay rate. Conventional windows are able to control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. The spectral methods are accurate for smooth functions and we propose using grouped B-spline windows with three control parameters for power spectral density estimation and analyze its characteristics.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Signals, Circuits and Systems ISSCS2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2013.6651176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The power spectral density of a signal can be estimated most accurately by using a window that can attain a narrower main lobe width and a higher decay rate. Conventional windows are able to control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. The spectral methods are accurate for smooth functions and we propose using grouped B-spline windows with three control parameters for power spectral density estimation and analyze its characteristics.
分组b样条窗口用于功率谱密度估计
通过使用能够获得较窄的主瓣宽度和较高的衰减率的窗口,可以最准确地估计信号的功率谱密度。传统的窗口只能通过一个参数来控制这些特性,因此存在权衡问题。为了减小光谱泄漏的影响,可以使用振幅在两端逐渐趋于零的窗函数。本文提出了基于分组b样条窗和三个控制参数的功率谱密度估计方法,并对其特性进行了分析。
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