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Fast Fourier transform
A fast Fourier transform (FFT) algorithm computes the discrete Fourier transform (DFT) of a sequence, or its inverse. Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa. An FFT rapidly computes such transformations by factorizing the DFT matrix into a product of sparse (mostly zero) factors. As a result, it manages to reduce the complexity of computing the DFT from O ( n 2 ) {\displaystyle O(n^{2})} , which arises if one simply applies the definition of DFT, to O ( n log n ) {\displaystyle O(n\log n)} , where n {\displaystyle n} is the data size. MORE
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