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m Fix broken anchor: 2018-12-04T17:15:18Z #Definition and speed→Fast Fourier transform#Definition |
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When the DFT and IDFT are implemented by the FFT algorithm, the pseudocode above requires about {{nowrap|'''N (log<sub>2</sub>(N) + 1)'''}} complex multiplications for the FFT, product of arrays, and IFFT.{{efn-ua
|1=Cooley–Tukey FFT algorithm for N=2<sup>k</sup> needs (N/2) log<sub>2</sub>(N) – see [[Fast Fourier transform#Definition
}} Each iteration produces {{nowrap|'''N-M+1'''}} output samples, so the number of complex multiplications per output sample is about''':'''
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