Research Progress on Discretization of Linear Canonical Transform

被引:0
|
作者
Sun Y. [1 ]
Li B. [2 ]
Tao R. [3 ]
机构
[1] School of Mathematical Sciences, Jiangsu University, Zhenjiang
[2] School of Mathematics and Statistics, Beijing Institute of Technology, Beijing
[3] School of Information and Electronics, Beijing Institute of Technology, Beijing
来源
Sun, Yannan (sunyannan@ujs.edu.cn) | 2021年 / Beijing Institute of Technology卷 / 30期
基金
中国国家自然科学基金;
关键词
Discrete linear canonical transform; Fast algorithm; Linear canonical transform(LCT); Sampling; Wigner-Ville distribution;
D O I
10.15918/j.jbit1004-0579.2021.036
中图分类号
学科分类号
摘要
Linear canonical transformation (LCT) is a generalization of the Fourier transform and fractional Fourier transform. The recent research has shown that the LCT is widely used in signal processing and applied mathematics, and the discretization of the LCT becomes vital for the applications of LCT. Based on the development of discretization LCT, a review of important research progress and current situation is presented, which can help researchers to further understand the discretization of LCT and can promote its engineering application. Meanwhile, the connection among different discretization algorithms and the future research are given. © 2021 Editorial Department of Journal of Beijing Institute of Technology.
引用
收藏
页码:205 / 216
页数:11
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