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2-D arithmetic Fourier transform using the Bruns method

机译:使用Bruns方法的二维算术傅里叶变换

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摘要

The arithmetic Fourier transform (AFT) has been shown to perform competitively with the classical fast Fourier transform (FFT) in terms of accuracy, complexity, and speed. The new technique of calculating AFT based upon Bruns' method proved to be an advancement of the previous version of the arithmetic transformation, since it provides a more balanced scheme of computation of the even and odd coefficients of a Fourier series. This brief develops the concept of two-dimensional AFT using the Bruns method. A VLSI architecture is suggested for the proposed two-dimensional AFT algorithm
机译:算术傅立叶变换(AFT)在准确性,复杂性和速度方面均表现出与经典的快速傅立叶变换(FFT)相当的性能。事实证明,基于Bruns方法的AFT计算新技术是对算术变换以前版本的改进,因为它提供了一种更加均衡的傅立叶级数偶数和奇数系数计算方案。本文简要介绍了使用Bruns方法进行二维AFT的概念。针对所提出的二维AFT算法,提出了VLSI体系结构

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