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