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Two-dimensional fast Fourier transform: Batterfly in analog of Cooley-Tukey algorithm

机译:二维快速傅立叶变换:Cooley-Tukey算法模拟中的Batterfly

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One- and two-dimensional (2D) fast Fourier transform (FFT) algorithms has been widely used in digital processing. 2D discrete Fourier transform is reduced to a combination of one-dimensional FFT for all coordinates due to the increased complexity and the large amount of computation by increasing dimension of the signal. This article provides the butterfly of analog Cooley-Tukey algorithm, which requires less complex operations of additional and multiplication than the standard method, and runs 1.5 times faster than analogue in Matlab.
机译:一维和二维(2D)快速傅里叶变换(FFT)算法已广泛用于数字处理中。由于增加了信号的维数,增加了复杂性并增加了计算量,因此将二维离散傅里叶变换简化为所有坐标的一维FFT组合。本文提供了模拟Cooley-Tukey算法的蝶形,该算法比标准方法所需的加法和乘法运算复杂度要低,并且其运行速度比Matlab中的模拟运算快1.5倍。

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