Noise-assisted EMD methods in action

COLOMINAS, MARCELO ALEJANDRO; SCHLOTTHAUER, GASTÓN; TORRES, MARÍA EUGENIA; FLANDRIN, PATRICK

Advances in Adaptive Data Analysis

World Scientific

Año: 2012 vol. 04 p. 1 - 11

1793-5369

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 different 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 different behaviors for different situations, CEEMDAN evidences some robustness with an almost unaffected performance for the studied cases. Read More: http://www.worldscientific.com/doi/abs/10.1142/S1793536912500252