Heisenberg Uncertainty Principle for n-Dimensional Linear Canonical Transforms

被引：0
|
作者：
Li Y. [1 ]
Zhang C. [2 ]
Sun H. [3 ]
机构：
[1] School of Science, Zhengzhou University of Aeronautics, Zhengzhou
[2] 11th Research Institute of China Electronics Technology Group Corporation, Beijing
[3] School of Mathematics and Statistics, Beijing Institute of Technology, Beijing
来源：
Journal of Beijing Institute of Technology (English Edition) | 2021年 / 30卷 / 03期
关键词：
Heisenberg uncertainty principle; Linear canonical transforms; Pitt inequality;
D O I：
10.15918/j.jbit1004-0579.2021.032
中图分类号：
学科分类号：
摘要：
The uncertainty principle proposed by German physicist Heisenberg in 1927 is a basic principle of quantum mechanics and signal processing. Since linear canonical transformation has been widely used in various fields of signal processing recently and Heisenberg uncertainty principle has been endowed with new expressive meaning in linear canonical transforms domain, in this manuscript, an improved Heisenberg uncertainty principle is obtained in linear canonical transforms domain. © 2021 Editorial Department of Journal of Beijing Institute of Technology.
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页码：249 / 253
页数：4
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