On the real complexity of a complex DFT


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We present a method to construct a theoretically fast algorithm for computing the discrete Fourier transform (DFT) of order N = 2n. We show that the DFT of a complex vector of length N is performed with complexity of 3.76875N log2N real operations of addition, subtraction, and scalar multiplication.

作者简介

I. Sergeev

Federal State Unitary Enterprise “Kvant Scientific Research Institute,”

编辑信件的主要联系方式.
Email: isserg@gmail.com
俄罗斯联邦, Moscow

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