Empirical mode decomposition: an analytical approach for sifting process

Eric Deléchelle 1, 2 Jacques Lemoine 3, 2 Oumar Niang 2, 3
1 SIRIUS
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
2 LERISS - Laboratoire d'étude et de recherche en instrumentation, signaux et systèmes
3 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : The present letter proposes an alternate procedure that can be effectively employed to replace the essentially algorithmic sifting process in Huang's empirical mode decomposition (EMD) method. Recent works have demonstrated that EMD acts essentially as a dyadic filter bank that can be compared to wavelet decompositions. However, the origin of EMD is algorithmic in nature and, hence, lacks a solid theoretical framework. The present letter proposes to resolve the major problem in the EMD method--the mean envelope detection of a signal by a parabolic partial differential equation (PDE)-based approach. The proposed approach is validated by employing several numerical studies where the PDE-based sifting process is applied to some synthetic composite signals.
keyword : Empirical mode decomposition (EMD) mean envelope parabolic equation
Type de document :
Article dans une revue
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2005, 12, pp.764-767. 〈10.1109/LSP.2005.856878〉
Liste complète des métadonnées

Littérature citée [14 références]  Voir  Masquer  Télécharger
https://hal.archives-ouvertes.fr/hal-00665754
Contributeur : Eric Deléchelle <>
Soumis le : jeudi 2 février 2012 - 16:15:04
Dernière modification le : mardi 13 juin 2017 - 11:12:30
Document(s) archivé(s) le : jeudi 3 mai 2012 - 03:00:49

Fichier

EMD-SPL2005a.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

LISSI | UPEC | UPEC-UPEM

Citation

Eric Deléchelle, Jacques Lemoine, Oumar Niang. Empirical mode decomposition: an analytical approach for sifting process. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2005, 12, pp.764-767. 〈10.1109/LSP.2005.856878〉. 〈hal-00665754〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

192

Téléchargements de fichiers

914

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD