A new FFT concept for efficient VLSI implementation: Part I - Butterfly processing element

Marwan A. Jaber, D. Massicotte
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引用次数: 15

Abstract

This article describes a new approach for higher radix butterflies suitable for pipeline implementation. Based on the butterfly computation introduced by Cooley-Tukey [1], we introduce a novel approach for the factorization of the Discrete Fourier Transform (DFT), by redefining the butterfly computation, which is more suitable for efficient VLSI implementation. This proposed factorization motivated us to present a new concept of a radix-r Fast Fourier Transform (FFT), in which the radix-r butterfly computation concept was formulated as composite engines to implement each of the butterfly computations. This concept enables the radix r butterfly-processing element (BPE) to be designed by maintaining only one complex value multiplier in the butterfly critical path for any given r. Algorithmic description and performance of low complexity FFT method are considered in this paper and parallel pipelined FFT in a companion paper [15], Part II Parallel Pipelined FFT Processing.
高效VLSI实现的FFT新概念:第一部分-蝴蝶处理元件
本文描述了一种适合于流水线实现的高基数蝶的新方法。在Cooley-Tukey[1]引入的蝴蝶计算的基础上,我们通过重新定义蝴蝶计算,引入了一种新的离散傅立叶变换(DFT)分解方法,该方法更适合于高效的VLSI实现。这种提出的因式分解促使我们提出了一个新的概念,即基数-r快速傅里叶变换(FFT),其中基数-r蝴蝶计算概念被制定为复合引擎来实现每个蝴蝶计算。这一概念使得基数r蝴蝶处理单元(BPE)可以通过在任何给定r的蝴蝶关键路径上只保持一个复值乘子来设计。本文考虑了低复杂度FFT方法的算法描述和性能,并行流水线FFT在其伴随论文[15],Part II并行流水线FFT处理中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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