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UID:5484@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20121018T140000
DTEND;TZID=Europe/Paris:20121018T150000
DTSTAMP:20241028T214522Z
URL:https://www.i2m.univ-amu.fr/evenements/n-pustelnik-ens-lyon-a-multicom
 ponent-proximal-algorithm-for-empirical-mode-decomposition/
SUMMARY: (...): Nelly PUSTELNIK - A multicomponent proximal algorithm for E
 mpirical Mode Decomposition
DESCRIPTION:: A multicomponent proximal algorithm for Empirical Mode Decomp
 osition. By Nelly Pustelnik\, ENS Lyon\nThe Empirical Mode Decomposition (
 EMD) is known to be a powerful tool adapted to the decomposition of a sign
 al into a collection of intrinsic mode functions (IMF). A key procedure in
  the extraction of the IMFs is the sifting process whose main drawback is 
 to depend on the choice of an interpolation method and to have no clear co
 nvergence guarantees. We propose a convex optimization procedure in order 
 to replace the sifting process in the EMD. The considered method is based 
 on proximal tools\, which allow us to deal with a large class of constrain
 ts such as quasi-orthogonality or extrema based constraints.
CATEGORIES:Séminaire,Signal et Apprentissage
LOCATION:I2M Chateau-Gombert - CMI\, 39 Rue Joliot Curie\, Marseille\, 1301
 3\, France
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DTSTART:20120325T030000
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