An Alternative Formulation for the Empirical Mode Decomposition
Résumé
Empirical Mode Decomposition (EMD) is a relatively new method for adaptive multiscale signal representation. As it allows to adaptively analyze nonlinear and non-stationary signals, it is widely used in signal processing. Yet, as the standard EMD method lacks a solid mathematical background, many alternative constructions have been proposed to define similar decompositions in a more comprehensive way. This paper is in line with this idea, as it defines a new decomposition that lies on direct constrained optimization. We show that this new approach gives satisfactory results for narrow-band signals and preserves the essential characteristics of the original EMD
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