A multi-dimensional ensemble empirical mode decomposition (MEEMD) for multi

dimensional data (such as images or solid with variable density) is proposed here. The

decomposition is based on the applications of ensemble empirical mode decomposition

(EEMD) to slices of data in each and every dimension involved. The final reconstruction

of the corresponding intrinsic mode function (IMF) is based on a comparable minima

scale combination principle.