Time Series Analysis, Time Series Forecasting, Data Science, Noise Reduction, Signal Processing.
that phase, this will make it easier for us to see what is happening. To get that, we must apply an arctan function. Let’s see how this looks in code: def phase_spectrum(imfs): imfs_p = [] fig, axs = plt.subplots(len(imfs), 1, figsize=(15,9)) for i, imf in enumerate(imfs): trans = fft(imf) imf_p =