Signal, Signal Processing, Machine Learning, Python Programming.
Empirical Mode Decomposition (EMD) is a signal processing technique that decomposes a signal into its underlying oscillatory components, called Intrinsic Mode Functions (IMFs). It is a data-driven method that does not require prior knowledge of the signal’s frequency content or the characteristics