EMD Empirical Mode Decomposition

EMD Empirical Mode Decomposition is a signal processing technique commonly used with Hilbert-Huang Transform for signal feature extraction and noise reduction applications. The implementation involves iterative sifting processes to extract Intrinsic Mode Functions (IMFs) from nonlinear and non-stationary signals.