Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD)

Empirical Mode Decomposition (EMD) is an adaptive signal decomposition method primarily applied to nonlinear and non-stationary signals. Ensemble Empirical Mode Decomposition (EEMD) addresses the mode mixing problem inherent in standard EMD. Implementation typically involves iterative sifting processes using MATLAB's signal processing toolbox or Python libraries like PyEMD.