| title: |
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Multivariate empirical mode decomposition and application to multichannel filtering |
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| author(s): |
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Julien Fleureau1, Amar Kachenoura ( ) 1, Laurent Albera1, Jean-Claude Nunes1, Lotfi Senhadji1 |
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| laboratory: |
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| abstract: |
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Empirical Mode Decomposition (EMD) is an emerging topic in signal processing research, applied in various practical fields due in particular to its data-driven filter bank properties. In this paper, a novel EMD approach called X-EMD (eXtended-EMD) is proposed, which allows for a straightforward decomposition of mono- and multivariate signals without any change in the core of the algorithm. Qualitative results illustrate the good behavior of the proposed algorithm whatever the signal dimension is. Moreover, a comparative study of X-EMD with classical mono- and multivariate methods is presented and shows its competitiveness. Besides, we show that X-EMD extends the filter bank properties enjoyed by monovariate EMD to the case of multivariate EMD. Finally, a practical application on multichannel sleep recording is presented. |
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| subject: |
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| fulltext language: |
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English |
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| publication format: |
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Peer-reviewed article |
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| DOI: |
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10.1016/j.sigpro.2011.01.018 |
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| journal: |
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| Signal Processing |
| Publisher |
Elsevier |
| ISSN |
0165-1684 |
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| Audience: |
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international |
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| publication date: |
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2011-12-01 |
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| submission date: |
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2011-04-12 |
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| volume: |
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91 |
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| issue: |
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12 |
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| page, identifiant, ...: |
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2783-2792 |
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| keyword(s) of author: |
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Mono- and multivariate empirical mode decomposition – Filter bank structure – Electroencephalography data analysis |
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| ANR Project: |
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| Project Id |
ANR-07-BLAN-0314 |
| Year |
2007 |
| Project acronyme |
BLANC |
| Project title |
Décomposition modale empirique multidimensionnelle |
| Intitule |
Blanc |
| Acronyme |
mv-EMD |
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