Noise-Assisted EMD Methods in Action
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 dierent kinds of noise, both stationary and nonstationary. Experiments are carried out for...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/197442 |
| Acceso en línea: | http://hdl.handle.net/11336/197442 |
| Access Level: | acceso abierto |
| Palabra clave: | Empirical Mode Decomposition Ensemble Empirical Mode Decomposition Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Adaptive Signal Processing https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
| Sumario: | 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 dierent 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 dierent behaviors for dierent situations, CEEMDAN evidences some robustness with an almost unaected performance for the studied cases. |
|---|