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A VLSI architecture for simplified arithmetic Fourier transform algorithm

机译:用于简化算术傅里叶变换算法的VLSI架构

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The arithmetic Fourier transform (AFT) is a number-theoretic approach to Fourier analysis which has been shown to perform competitively with the classical FFT in terms of accuracy, complexity, and speed. Theorems developed by I.S. Reed et al. (1990) for the AFT algorithm are used here to derive the original AFT algorithm which Bruns found in 1903. This is shown to yield an algorithm of less complexity and of improved performance over certain AFT algorithms. A VLSI architecture is suggested for this simplified AFT algorithm. This architecture uses a butterfly structure which reduces the number of additions by 25% of that used in the direct method.
机译:算术傅立叶变换(AFT)是一种用于傅立叶分析的数论方法,在准确性,复杂性和速度方面,它已被证明与经典FFT相比具有竞争优势。 I.S.开发的定理里德等。 (1990)中的AFT算法用于推导Bruns在1903年发现的原始AFT算法。与某些AFT算法相比,这表明产生的算法复杂度较低,并且性能有所提高。对于这种简化的AFT算法,建议使用VLSI架构。此体系结构使用蝶形结构,可将直接方法中使用的添加数量减少25%。

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