A New Formulation for Empirical Mode Decomposition Based on Constrained Optimization

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Authors S. Meignen, V. Perrier
Journal/Conference Name IEEE Signal Processing Letters
Paper Category
Paper Abstract 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.
Date of publication 2007
Code Programming Language Scilab

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