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Twiddle factor complexity analysis of Radix-2 FFT algorithms for pipelined architectures

机译:用于流水线架构的Radix-2 FFT算法的旋转因子复杂度分析

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This paper presents analysis of fast Fourier transform (FFT) algorithms for pipelined architectures that can be generated by using binary tree representation. Those algorithms have different twiddle factors, however the butterfly operations remain same. Twiddle factor can be implemented by different techniques, which has different hardware cost. This analysis is based on twiddle factors hardware cost of each FFT algorithm. In results, we have shown the trade-off between the hardware components of twiddle factor for selected FFT algorithms.
机译:本文介绍了可通过使用二叉树表示生成的流水线架构的快速傅立叶变换(FFT)算法的分析。这些算法具有不同的旋转因子,但是蝶形运算保持不变。旋转因子可以通过具有不同硬件成本的不同技术来实现。该分析基于每种FFT算法的旋转因素硬件成本。结果表明,对于所选的FFT算法,旋转因子的硬件组件之间存在折衷。

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