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A New Formulation for Empirical Mode Decomposition Based on Constrained Optimization

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2 Author(s)
Sylvain Meignen ; LMC-IMAG Lab., Univ. of Grenoble, Grenoble, France ; ValÉrie Perrier

The empirical mode decomposition (EMD) is an algorithmic construction that aims at decomposing a signal into several modes called intrinsic mode functions. In this letter, we present a new approach for the EMD based on the direct construction of the mean envelope of the signal. The definition of the mean envelope is achieved through the resolution of a quadratic programming problem with equality and inequality constraints. Some numerical experiments conclude this letter, and comparisons are carried out with the classical EMD.

Published in:

IEEE Signal Processing Letters  (Volume:14 ,  Issue: 12 )