Description: Although it has
been proven to be particularly effective in many applications,EMD
method has several drawbacks. The major problem with EMD is
the lack of theoretical Framework which leads to difficulties for
the characterization and evaluation this approach. On top of the
mathematical model, there are other concerns with mode mixing
and transient phenomena, such as intermittency or pure tones separation.
This paper follows a previous published nonlinear diffusion-
based filtering to solve the mean-envelope estimation in sifting
process. The major improvements made in this present work are a
non-iterative resolution scheme for the previously proposed partial
differential equation (PDE), a new definition of the stopping function
used in the PDE framework, and finally an automatic regularization
process based on inverse problem theory to deal with mode
mixing or transient detection problem. Obtained
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A Spectral Approach for Sifting Process in Empirical Mode Decomposition.pdf
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