1. Fast Fourier Transform (FFT) 1.1. Purpose Perform Fourier transform of a signal. 1.2. Description Given a time series \(x(t)\), the (continuous) Fourier transform of \(x\) is then defined as \[ \hat{x}(f) = \int x(t)\exp(–2\pi i ft) \, dt,\] where \(f\) is frequency and \(i=\sqrt{-1}\) is the imaginary unit. The Fast Fourier Transform (FFT) is an algorithm to perform the discrete Fourier transform. The FFT implementation is based on: Cooley, James W. and Tukey, John W. (1965). An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19: 297-301. 1.3. Input Any equidistant signal (see Signal Types ) with time on the \(x\)-axis. 1.4. Output The output is the modulus of the Fourier transform, \(|\hat{x}|\), as a function of period of frequency, depending on the user’s unit preferences. Cross Spectrum Fatigue