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The duality property of the Discrete Fourier Transform based on Simpson's rule

机译:基于辛普森规则的离散傅里叶变换的对偶性

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摘要

The classical Discrete Fourier Transform (DFT) satisfies a duality property that transforms a discrete time signal to the frequency domain and back to the original domain. In doing so, the original signal is reversed to within a multiplicative factor, namely the dimension of the transformation matrix. In this paper, we prove that the DFT based on Simpson's method satisfies a similar property and illustrate its effect on a real discrete signal. The duality property is particularly useful in determining the components of the transformation matrix as well as components of its positive integral powers.
机译:经典的离散傅立叶变换(DFT)满足双重性,即将离散时间信号转换到频域并返回原始域。这样做,原始信号被反转到一个乘数内,即变换矩阵的维数内。在本文中,我们证明了基于Simpson方法的DFT满足相似的特性,并说明了它对真实离散信号的影响。对偶属性在确定变换矩阵的组成部分及其正整数幂的组成部分时特别有用。

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