九尺度双正交向量值多元小波包的研究

Qingjiang Chen, Z. An
{"title":"九尺度双正交向量值多元小波包的研究","authors":"Qingjiang Chen, Z. An","doi":"10.1109/ICWAPR.2009.5207453","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a class of vector-valued wavelet packets of space L<sup>2</sup>(R<sup>s</sup>,C<sup>v</sup>), which are generalizations of multivariate wavelet packets. A procedure for constructing a class of biorthogonal vector-valued higher-dimensional wavelet packets is presented and their biorthogonality properties are characterized by virtue of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formu-las regarding these wavelet packets are derived. Moreover, it is shown how to obtain new Riesz bases of space L<sup>2</sup>(R<sup>s</sup>,C<sup>v</sup>) from these wavelet packets.","PeriodicalId":424264,"journal":{"name":"2009 International Conference on Wavelet Analysis and Pattern Recognition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The survey of biorthogonal vector-valued multivariate wavelet packets with nine-scale\",\"authors\":\"Qingjiang Chen, Z. An\",\"doi\":\"10.1109/ICWAPR.2009.5207453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce a class of vector-valued wavelet packets of space L<sup>2</sup>(R<sup>s</sup>,C<sup>v</sup>), which are generalizations of multivariate wavelet packets. A procedure for constructing a class of biorthogonal vector-valued higher-dimensional wavelet packets is presented and their biorthogonality properties are characterized by virtue of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formu-las regarding these wavelet packets are derived. Moreover, it is shown how to obtain new Riesz bases of space L<sup>2</sup>(R<sup>s</sup>,C<sup>v</sup>) from these wavelet packets.\",\"PeriodicalId\":424264,\"journal\":{\"name\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2009.5207453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2009.5207453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文引入了空间L2(Rs,Cv)上的一类向量值小波包,它们是多元小波包的推广。提出了构造一类双正交向量值高维小波包的方法,并利用矩阵理论、时频分析方法和算子理论对其双正交性进行了表征。导出了这些小波包的三个双正交公式。此外,还展示了如何从这些小波包中获得空间L2(Rs,Cv)的新Riesz基。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The survey of biorthogonal vector-valued multivariate wavelet packets with nine-scale
In this paper, we introduce a class of vector-valued wavelet packets of space L2(Rs,Cv), which are generalizations of multivariate wavelet packets. A procedure for constructing a class of biorthogonal vector-valued higher-dimensional wavelet packets is presented and their biorthogonality properties are characterized by virtue of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formu-las regarding these wavelet packets are derived. Moreover, it is shown how to obtain new Riesz bases of space L2(Rs,Cv) from these wavelet packets.
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
期刊最新文献
Analysis of Laplacian Support Vector Machines Intelligent computerized fabric texture recognition system by using Grey-based neural fuzzy clustering A new cooperative algorithm for signal detection Improved algorithm of the Back Propagation neural network and its application in fault diagnosis of air-cooling condenser HSICT: A method for romoving highlight and shading in color image
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1