Abstract:
We present a method to construct a theoretically fast algorithm for computing the discrete Fourier transform (DFT) of order $N=2^n$. We show that the DFT of a complex vector of length $N$ is performed with complexity of $3{,}76875N\log_2N$ real operations of addition, subtraction, and scalar multiplication.
Citation:
I. S. Sergeev, “On the real complexity of a complex DFT”, Probl. Peredachi Inf., 53:3 (2017), 90–99; Problems Inform. Transmission, 53:3 (2017), 284–293