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A New Formulation for Empirical Mode Decomposition Based on Constrained Optimization
2007
IEEE Signal Processing Letters
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The empirical mode decomposition (EMD) is an algorithmic construction which aims at decomposing a signal into several modes called intrinsic mode functions. In the current paper, 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 the paper and comparisons are
doi:10.1109/lsp.2007.904706
fatcat:gt2qyunzmjfarbm4ngumjjh4i4