An Alternative Formulation for the Empirical Mode Decomposition

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Authors T. Oberlin, S. Meignen and V. Perrier
Journal/Conference Name IEEE Transactions on Signal Processing
Paper Category
Paper Abstract The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and non-stationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that would preserve the interesting properties of the EMD while improving the mathematical setting. The new decomposition based on direct constrained optimization we introduce in this article is an attempt in that direction.
Date of publication 2012
Code Programming Language MATLAB
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