Research Progress on Discretization of Linear Canonical Transform

Yannan Sun, Bingzhao Li, Ran Tao
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引用次数: 0

Abstract

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.
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线性正则变换离散化的研究进展
线性正则变换(LCT)是傅立叶变换和分数傅立叶变换的推广。最近的研究表明,LCT在信号处理和应用数学中有着广泛的应用,而LCT的离散化对LCT的应用至关重要。在离散化LCT发展的基础上,综述了LCT的重要研究进展和现状,有助于研究人员进一步了解LCT的离散化,促进其工程应用。同时,给出了不同离散化算法之间的联系以及未来的研究方向。
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0.00%
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2437
期刊最新文献
Existence and Uniqueness Analysis for Fractional Differential Equations with Nonlocal Conditions A New Tensor Factorization Based on the Discrete Simplified Fractional Fourier Transform Generalized Uncertainty Inequalities on Fisher Information Associated with LCT A Random Nonstationary Pulse Train Model Research Progress on Discretization of Linear Canonical Transform
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