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A new method mathematically links fast Fourier transform algorithms with fast cyclic convolution algorithms

机译:一种新的方法,用快速循环卷积算法数学地链接快速傅里叶变换算法

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摘要

The cyclic convolution theorem is used to formally link certain factorizations of the DFT matrix to factorizations of the circulant matrices. As an example, the DFT matrix decomposition leading to the decimation in time fast Fourier transform is mathematically linked to a circulant matrix decomposition, which in turn leads to a fast cyclic convolution algorithm. Most importantly, permutations of the DFT matrix are shown to be related to permutations of the circulant matrices. It is therefore illustrated how certain factorizations, in one domain, could lead to fast algorithms in both domains, thus, providing further insight and needed unification.
机译:循环卷积定理用于与循环矩阵的沉积物中的DFT基质的某些因子联系起来。 作为示例,DFT矩阵分解导致时间快速傅里叶变换的比例在数学上与循环矩阵分解相关,这又导致快速循环卷积算法。 最重要的是,DFT基质的排列显示与循环矩阵的置换相关。 因此,说明了一个域中的某些因素,可以在两个域中导致快速算法,从而提供进一步的见解和所需的统一。

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