A New Formulation for Empirical Mode Decomposition Based on Constrained Optimization
By: Researcher II
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| Authors | S. Meignen, V. Perrier |
| Journal/Conference Name | IEEE Signal Processing Letters |
| Paper Category | ECE |
| 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 |
| Comment |
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