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Modification of a Two-Dimensional Fast Fourier Transform Algorithm by the Analog of the Cooley-Tukey Algorithm for a Rectangular Signal

机译:二维快速傅立叶变换算法的改进-针对矩形信号的Cooley-Tukey算法

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One-dimensional fast Fourier transform (FFT) is the most popular tool for computing the two-dimensional Fourier transform. As a rule, a standard method of combination of one-dimensional FFTs-the so-called algorithm "by rows and columns" [1]-is used in the literature. In [2, 3], the authors showed how to compute the FFT for a signal with the number of samples 2|~s × 2~s with the use of an analog of the Cooley- Tukey algorithm. In the present paper, a two-dimensional analog of the Cooley-Tukey algorithm is constructed for a rectangular signal with the number of samples 2~s × 2~s + 9. The number of operations in this algorithm is much less than that in the successive application of a one dimensional FFT by rows and columns. The testing of the algorithm on image-type signals shows that the speed of computation of the FFT by the algorithm proposed is about 1.7 times higher than that of the algorithm by rows and columns.
机译:一维快速傅立叶变换(FFT)是用于计算二维傅立叶变换的最受欢迎的工具。通常,在文献中使用一维FFT组合的标准方法-所谓的“按行和列”算法[1]。在[2,3]中,作者展示了如何使用Cooley-Tukey算法的模拟来计算采样数为2 |〜s×2〜s的信号的FFT。本文针对样本数目为2〜s×2〜s + 9的矩形信号,构造了Cooley-Tukey算法的二维模拟。按行和列对一维FFT的连续应用。对图像类型信号的算法测试表明,所提出的算法的FFT计算速度比行和列的算法快约1.7倍。

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