The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
NOISE-ASSISTED EMD METHODS IN ACTION
Abstract
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.
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Gammaitoni, L., Hänggi, P., Jung, P., & Marchesoni, F. (1998) · Reviews of Modern Physics · doi:10.1103/revmodphys.70.223 · Cited by 5,443
Cited by
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Mooney, J. W., Ghasemi-Roudsari, S., Banham, E. R., Symonds, C., Pawlowski, N., & Varcoe, B. T. H. (2017) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/3/1/015008 · Cited by 39
Metadata
- Authors
- COLOMINAS, M. A., SCHLOTTHAUER, G., TORRES, M. E., & FLANDRIN, P.
- Venue
- Advances in Adaptive Data Analysis
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2012-10
- Volume
- 04
- Issue
- 04
- Pages
- 1250025
- ISSN
- 1793-7175 (ISSN-L)
- 1793-5369
- OpenAlex
- W1979732575
- Cited by
- 175
- References
- 1
- FWCI
- 9.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- COLOMINAS, M. A., SCHLOTTHAUER, G., TORRES, M. E., & FLANDRIN, P. (2012). NOISE-ASSISTED EMD METHODS IN ACTION. Advances in Adaptive Data Analysis. https://doi.org/10.1142/s1793536912500252
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