Fast Fourier Transform

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Fast Fourier Transform is an efficient algorithm for calculating the discrete fourier transform (DFT). It reduces the execution time by hundreds in some cases. Whereas DFT takes an order of $O(n^2)$ computations, FFT takes an order of $O(n\log n)$, and is definitely the preferred algorithm to used in all applications in terms of computational complexity. The FFT in most implementations consistent of samples that are exactly a power of 2, this is commonly known as a FFT Radix 2 algorithm where $n=64,128,256,512,1024,2048$ etc.