Python Specials#2 - Fourier Transformation
In this example, we first define a signal as a sum of two sine waves. We then perform the Fourier transformation using the np.fft.fft function, and calculate the corresponding frequencies using the np.fft.fftfreq function. Finally, we plot the original signal and the Fourier transform using Matplotlib.
Note that the Fourier transform outputs a complex valued result, so we take the absolute value of the result when plotting it. Also, the frequencies returned by np.fft.fftfreq are in units of cycles per sample, so we need to multiply them by the length of the signal to get the actual frequencies.
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