A spectral approach for sifting process in Empirical Mode Decomposition

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This paper provides then the assessments of an advanced signal processing technique, namely the ensemble empirical mode decomposition, using the instantaneous power

Next, adapting previous techniques to (gKdV) equation, we prove a similar result of existence of multi-solitons with logarithmic relative distance; for (gKdV), the solitons

Depend- ing on the cases, the shape of the upper (resp. lower) envelope is used to derive that of the lower (resp.. Optimization procedure for the estimation of the mean envelope

Key words: Mixed finite element method, global-in-time domain decomposition, nonconforming time grids, Robin interface conditions, a posteriori error estimate, stopping criteria..

The proofs of Theorems 2.1 and 2.2 are based on the representations of the density and its derivative obtained by using Malliavin calculus and on the study of the asymptotic behavior

In this part, we develop an extension in 2D space of the proposed 1D PDE-based sifting process in order to perform Bidimensional Empirical Mode Decomposition (BEMD).. (11) In order

The Spectral Intrinsic Decomposition Method [1] is an adaptive decomposition technique with which any compli- cated signal can be decomposed into a definite number of high frequency