Noun
FFT (plural FFTs)
(signal processing) Initialism of fast Fourier transform.
Although the principles and some of the benefits have been known since the 1960s, OFDM is popular for wideband communications today by way of low-cost digital signal processing components that can efficiently calculate the FFT. Source: Internet
All known FFT algorithms require Θ (N log N) operations, although there is no known proof that a lower complexity score is impossible. Source: Internet
Algorithms based on the Cooley–Tukey FFT algorithm are most common, but any other FFT algorithm is also applicable. Source: Internet
An FFT rapidly computes such transformations by factorizing the DFT matrix into a product of sparse (mostly zero) factors. Source: Internet
Approximations All of the FFT algorithms discussed above compute the DFT exactly (in exact arithmetic, i.e. neglecting floating-point errors). Source: Internet
An FFT is a way to compute the same result more quickly: computing the DFT of N points in the naive way, using the definition, takes (N 2 ) arithmetical operations, while an FFT can compute the same DFT in only O(N log N) operations. Source: Internet