On empirical mode decomposition and its algorithms

Huang’s data-driven technique of Empirical Mode Decomposition (EMD) is presented, and issues re-lated to its effective implementation are discussed. A number of algorithmic variations, including new stopping criteria and an on-line version of the al-gorithm, are proposed. Numerical simulations are used for empirically assessing performance elements related to tone identification and separation. The obtained results support an interpretation of the method in terms of adaptive constant-Q filter banks. 1