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  • 标题:Multiresolution Analysis for Linear Canonical Wavelet Transform
  • 本地全文:下载
  • 作者:Yong Guo ; Li-Dong Yang ; Bing-Zhao Li
  • 期刊名称:IAENG International Journal of Computer Science
  • 印刷版ISSN:1819-656X
  • 电子版ISSN:1819-9224
  • 出版年度:2019
  • 卷号:46
  • 期号:2
  • 页码:358-364
  • 出版社:IAENG - International Association of Engineers
  • 摘要:Since linear canonical wavelet transform (LCWT)breaks through the limitation of wavelet transform in time-Fourier domain analysis, LCWT has become a useful mathematicaltool in the applied mathematics, engineering andsignal processing fields. The multi-resolution analysis (MRA)associated with LCWT can not only provides a method forconstructing orthogonal wavelet associated LCWT, but alsodevelops a theoretical basis for fast LCWT algorithm, and thusplays a key role for its prospective applications. In this paper,inspired by sampling theorem of band-limited signal in LCTdomain, the MRA associated with LCWT is studied firstly.Moreover, the construction method of orthogonal waveletsfor LCWT is developed. Finally, two examples of generalizedorthogonal Haar and Shannon wavelets for LCWT are deduced.
  • 关键词:linear canonical wavelet transform; multiresolution;analysis; wavelet transform; linear canonical transform;linear canonical convolution
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