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Interpolation of Discrete Chirp-periodic Signals Based on Fractional Fourier Transform

机译:基于分数阶傅里叶变换的离散线性调频周期信号插值

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The sampling theorem associated with the fractional Fourier transform can be looked as the convolution of the sine kernel with infinite sequence of signal points and chirp signal modulations. But in most practical applications we only have finite number of samples, which makes a perfect reconstruction of the original signal impossible. To solve this problem, we obtain a new formula for perfect reconstruction of discrete chirp-periodic signal points based on the fractional Fourier transform in this paper. The method is equivalent to trigonometrically interpolation by fractional Fourier series expansion and can be looked as a generalization of the classical results.
机译:与分数傅立叶变换相关的采样定理可以看作是正弦内核与信号点和chi信号调制的无穷序列的卷积。但是在大多数实际应用中,我们只有有限数量的样本,这使得无法完美重构原始信号。为了解决这个问题,本文基于分数阶傅里叶变换,给出了一种理想的离散线性调频周期信号点重构的新公式。该方法等效于通过分数阶傅里叶级数展开的三角插值,可以看作是经典结果的推广。

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