New Convolution and Correlation Theorems for the Linear Canonical Wavelet Transform

Hui Zhao, Bing Zhao Li*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The linear canonical wavelet transform (LCWT) is the generalization of the classical wavelet transform (WT) and the linear canonical transform (LCT). It has been proven to be a powerful mathematical tool and is widely used in signal processing, image processing, optics, and other fields. However, some basic results of this transform are not yet mature, such as convolution and correlation theorems. Therefore, this paper discusses the convolution and correlation theorems of the LCWT. Firstly, we review the basic theory of the WT, the LCT, and the LCWT. Secondly, we define the new convolution and correlation operators, and deduce the convolution and correlation theorems of the LCWT. The results show that they are similar in other joint space/spatial-frequency or time/frequency representations. Finally, we give the filter design method of the proposed convolution theorem in the LCWT domain, which provides us with more possibilities to consider performing spatially varying filtering operations in the LCWT domain.

源语言英语
主期刊名Fifteenth International Conference on Signal Processing Systems, ICSPS 2023
编辑Zhenkai Zhang, Cheng Li
出版商SPIE
ISBN(电子版)9781510675056
DOI
出版状态已出版 - 2024
活动15th International Conference on Signal Processing Systems, ICSPS 2023 - Xi'an, 中国
期限: 17 11月 202319 11月 2023

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
13091
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议15th International Conference on Signal Processing Systems, ICSPS 2023
国家/地区中国
Xi'an
时期17/11/2319/11/23

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