Multidimensional Empirical Mode Decomposition (MEMD) is an advanced signal processing technique, an extension of the traditional Empirical Mode Decomposition (EMD) used primarily for analyzing one-dimensional signals. EMD is a method designed to decompose a signal into a set of intrinsic mode functions (IMFs) that better capture its oscillatory modes, enabling more effective analysis, filtering, and interpretation of complex signals.

Articles by others on the same topic (0)

There are currently no matching articles.