INVESTIGADORES
SCHLOTTHAUER Gaston
artículos
Título:
NOISE-ASSISTED EMD METHODS IN ACTION
Autor/es:
MARCELO ALEJANDRO COLOMINAS; GASTÓN SCHLOTTHAUER; MARÍA EUGENIA TORRES; PATRICK FLANDRIN
Revista:
Advances in Adaptive Data Analysis
Editorial:
World Scientific
Referencias:
Año: 2012 vol. 4 p. 1 - 11
ISSN:
1793-5369
Resumen:
In this work we explore the capabilities of two noise-assisted EMD methods: Ensemble EMD (EEMD) and the recently proposed Complete Ensemble EMD with Adaptive Noise (CEEMDAN), to recover a pure tone embedded in di erent kinds of noise, both stationary and nonstationary. Experiments are carried out for assessing their performances with respect to the level of the added noise and the number of realizations used for averaging. The obtained results partly support empirical recommendations reported in the literature while evidencing new distinctive features. While EEMD presents quite di erent behaviors for di erent situations, CEEMDAN evidences some robustness with an almost una ected performance for the studied cases.
