用线性典型变换表示信号浓度的更清晰哈代不确定性关系

IF 1.6 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Xiaogang Xu;Guanlei Xu;Xiaotong Wang
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引用次数: 0

摘要

线性典型变换对光学和信息科学具有重要意义。哈代不确定性原理与海森堡不确定性原理一样,在各个领域发挥着重要作用。本文推导了线性典型变换的四个新的更尖锐的哈代不确定关系。这些新推导出的不确定性关系与线性规范变换参数相关联,为信号能量集中提供了新的启示。特别是对于某些变换参数,如 $b=0$,这些新提出的不确定性关系打破了信号能量集中的传统对应关系,并将从不确定性原理的角度产生新的物理解释。理论分析和数值示例展示了这些新关系的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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. $b=0$ , 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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来源期刊
Chinese Journal of Electronics
Chinese Journal of Electronics 工程技术-工程:电子与电气
CiteScore
3.70
自引率
16.70%
发文量
342
审稿时长
12.0 months
期刊介绍: CJE focuses on the emerging fields of electronics, publishing innovative and transformative research papers. Most of the papers published in CJE are from universities and research institutes, presenting their innovative research results. Both theoretical and practical contributions are encouraged, and original research papers reporting novel solutions to the hot topics in electronics are strongly recommended.
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