Sharper Hardy Uncertainty Relations on Signal Concentration in Terms of Linear Canonical Transform

Linear canonical transform is of much significance to optics and information science. Hardy uncertainty principle, like Heisenberg uncertainty principle, plays an important role in various fields. In this paper, four new sharper Hardy uncertainty relations on linear canonical transform are derived. These new derived uncertainty relations are connected with the linear canonical transform parameters and indicate new insights for signal energy concentration. Especially, for certain transform parameters, e.g. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$b=0$</tex>, these new proposed uncertainty relations break the traditional counterparts in signal energy concentration, as will result in new physical interpretation in terms of uncertainty principle. Theoretical analysis and numerical examples are given to show the efficiency of these new relations.

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Publication Details

Journal
Chinese Journal of Electronics
Published
2024-09-01
DOI
https://doi.org/10.23919/cje.2023.00.096
Citations
1
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
Field-Weighted Citation Impact
0.97

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article

Sharper Hardy Uncertainty Relations on Signal Concentration in Terms of Linear Canonical Transform

Xiaogang Xu, Guanlei Xu, Xiaotong Wang
1 citations
Chinese Journal of Electronics
Mathematical Analysis and Transform Methods
0.97
article

Sharper Hardy Uncertainty Relations on Signal Concentration in Terms of Linear Canonical Transform

Xiaogang Xu, Guanlei Xu, Xiaotong Wang
article en
1 citations

Abstract

Linear canonical transform is of much significance to optics and information science. Hardy uncertainty principle, like Heisenberg uncertainty principle, plays an important role in various fields. In this paper, four new sharper Hardy uncertainty relations on linear canonical transform are derived. These new derived uncertainty relations are connected with the linear canonical transform parameters and indicate new insights for signal energy concentration. Especially, for certain transform parameters, e.g. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$b=0$</tex>, these new proposed uncertainty relations break the traditional counterparts in signal energy concentration, as will result in new physical interpretation in terms of uncertainty principle. Theoretical analysis and numerical examples are given to show the efficiency of these new relations.

Chinese Journal of ElectronicsVol. 33(5)
Zhejiang Gongshang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 26%
Mathematical Analysis and Transform Methods
0.97
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