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Sampling and Sampling Rate Conversion of Band Limited Signals in the Fractional Fourier Transform Domain

机译:分数阶傅里叶变换域中频带受限信号的采样和采样率转换

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摘要

The fractional Fourier transform (FRFT) has become a very active area in signal processing community in recent years, with many applications in radar, communication, information security, etc., This study carefully investigates the sampling of a continuous-time band limited signal to obtain its discrete-time version, as well as sampling rate conversion, for the FRFT. Firstly, based on product theorem for the FRFT, the sampling theorems and reconstruction formulas are derived, which explain how to sample a continuous-time signal to obtain its discrete-time version for band limited signals in the fractional Fourier domain. Secondly, the formulas and significance of decimation and interpolation are studied in the fractional Fourier domain. Using the results, the sampling rate conversion theory for the FRFT with a rational fraction as conversion factor is deduced, which illustrates how to sample the discrete-time version without aliasing. The theorems proposed in this study are the generalizations of the conventional versions for the Fourier transform. Finally, the theory introduced in this paper is validated by simulations.
机译:分数阶傅里叶变换(FRFT)近年来已成为信号处理领域中非常活跃的领域,在雷达,通信,信息安全等方面有许多应用。本研究仔细研究了连续时间带限信号对获得FRFT的离散时间版本以及采样率转换。首先,基于FRFT的乘积定理,推导了采样定理和重构公式,解释了如何对连续时间信号进行采样以获得分数阶傅里叶域中频带受限信号的离散时间版本。其次,在分数阶傅里叶域中研究了抽取和内插的公式及其意义。利用这些结果,推导了以分数作为转换因子的FRFT的采样率转换理论,说明了如何在不混叠的情况下对离散时间版本进行采样。这项研究中提出的定理是傅里叶变换的传统形式的推广。最后,通过仿真验证了本文介绍的理论。

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