Support-Limited Generalized Uncertainty Relations on Fractional Fourier Transform

Xiaotong Wang, Guanlei Xu
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引用次数: 1

Abstract

This paper investigates the generalized uncertainty principles of fractional Fourier transform (FRFT) for concentrated data in limited supports. The continuous and discrete generalized uncertainty relations, whose bounds are related to FRFT parameters and signal lengths, were derived in theory. These uncertainty principles disclose that the data in FRFT domains may have much higher concentration than that in traditional time-frequency domains, which will enrich the ensemble of generalized uncertainty principles.
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分数阶傅里叶变换的支持有限广义不确定性关系
研究了有限支撑条件下集中数据的分数阶傅里叶变换的广义不确定性原理。从理论上推导了连续和离散广义不确定性关系,其界与FRFT参数和信号长度有关。这些不确定原理揭示了FRFT域中的数据可能比传统时频域中的数据具有更高的浓度,这将丰富广义不确定原理的集合。
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