Uncertainty Principles for the Offset Linear Canonical Transform

被引：0
作者：
Haiye Huo
机构：
[1] Nanchang University,Department of Mathematics, School of Science
来源：
Circuits, Systems, and Signal Processing | 2019年 / 38卷
关键词：
Offset linear canonical transform; Uncertainty principle; Logarithmic uncertainty estimate; Entropic inequality; Localization;
D O I：
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学科分类号：
摘要：
The offset linear canonical transform (OLCT) provides a more general framework for a number of well-known linear integral transforms in signal processing and optics, such as Fourier transform, fractional Fourier transform, linear canonical transform. In this paper, to characterize simultaneous localization of a signal and its OLCT, we extend some different uncertainty principles (UPs), including Nazarov’s UP, Hardy’s UP, Beurling’s UP, logarithmic UP and entropic UP, which have already been well studied in the Fourier transform domain over the last few decades, to the OLCT domain in a broader sense.
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页码：395 / 406
页数：11
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