Time Series Analysis, Time Series Forecasting, Data Science, Noise Reduction, Signal Processing.
np.sum(imfs[cut_point:], axis=0) t = [i for i in range(len(signal))] fig, axs = plt.subplots(3, 1, figsize=(15,12)) axs[0].plot(t, signal.values) axs[0].set_title('Original Signal') axs[1].plot(t, stochastic_component) axs[1].set_title('Stochastic Component') axs[2].plot(t, deterministic_component)