On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach

Douglas Baptista de Souza 1 Jocelyn Chanussot 1, 2 Anne-Catherine Favre 3
1 GIPSA-SIGMAPHY - SIGMAPHY
GIPSA-DIS - Département Images et Signal
3 HMCI
LTHE - Laboratoire d'étude des transferts en hydrologie et environnement
Abstract : Although the empirical mode decomposition is a powerful tool for analyzing complicated datasets, many irrelevant intrinsic mode functions may appear in the decomposition. In this paper, we develop an energy-based method to detect relevant intrinsic mode functions. The new method can be seen as a generalization of techniques that are based on correlation. An experimental study is carried out in different datasets for assessing the performance of the proposed technique.
Type de document :
Communication dans un congrès
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. Proceedings of ICASSP 2014, pp.325-329, 〈10.1109/ICASSP.2014.6853611〉
Liste complète des métadonnées

http://hal.univ-grenoble-alpes.fr/hal-01128464
Contributeur : Vincent Couturier-Doux <>
Soumis le : lundi 9 mars 2015 - 17:25:54
Dernière modification le : lundi 9 avril 2018 - 12:22:34

Identifiants

Citation

Douglas Baptista de Souza, Jocelyn Chanussot, Anne-Catherine Favre. On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. Proceedings of ICASSP 2014, pp.325-329, 〈10.1109/ICASSP.2014.6853611〉. 〈hal-01128464〉

Partager

Métriques

Consultations de la notice

285