Many tricks and techniques have been developed to speed up the computation of FFTs. Significant reductions in computation time result from table lookup of twiddle factors, compiler-friendly or assembly-language programming, special hardware, and FFT algorithms for real-valued data. Higher-radix algorithms, fast bit-reversal, and special butterflies yield more modest but worthwhile savings.
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