Reference : A New Wavelet-Based Mode Decomposition for Oscillating Signals and Comparison with th...
Scientific congresses and symposiums : Paper published in a book
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/196475
A New Wavelet-Based Mode Decomposition for Oscillating Signals and Comparison with the Empirical Mode Decomposition
English
Deliège, Adrien mailto [Université de Liège > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes >]
Nicolay, Samuel mailto [Université de Liège > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes >]
Apr-2016
Information Technology: New Generations
Springer
Advances in Intelligent Systems and Computing 448
959-968
Yes
International
978-3-319-32467-8
Switzerland
13th International Conference on Information Technology : New Generations
April 11-13, 2016
Las Vegas
NV
[en] wavelet ; mode decomposition ; EMD
[en] We introduce a new method based on wavelets (EWMD) for decomposing a signal into quasi-periodic oscillating components with smooth time-varying amplitudes. This method is inspired by both the “classic” wavelet-based decomposition and the empirical mode decomposition (EMD). We compare the reconstruction skills and the period detection ability of the method with the well-established EMD on toys examples and the ENSO climate index. It appears that the EWMD accurately decomposes and reconstructs a given signal (with the same efficiency as the EMD), it is better at detecting prescribed periods and is less sensitive to noise. This work provides the first version of the EWMD. Even though there is still room for improvement, it turns out that preliminary results are highly promising.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers
http://hdl.handle.net/2268/196475
10.1007/978-3-319-32467-8_83
http://link.springer.com/chapter/10.1007/978-3-319-32467-8_83

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