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Empirical Wavelet Transform

IEEE transactions on signal processing, 2013-08, Vol.61 (16), p.3999-4010 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2013.2265222

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  • Title:
    Empirical Wavelet Transform
  • Author: Gilles, Jérôme
  • Subjects: Computer Science ; Signal and Image Processing
  • Is Part Of: IEEE transactions on signal processing, 2013-08, Vol.61 (16), p.3999-4010
  • Description: Some recent methods, like the empirical mode decomposition (EMD), propose to decompose a signal accordingly to its contained information. Even though its adaptability seems useful for many applications, the main issue with this approach is its lack of theory. This paper presents a new approach to build adaptive wavelets. The main idea is to extract the different modes of a signal by designing an appropriate wavelet filter bank. This construction leads us to a new wavelet transform, called the empirical wavelet transform. Many experiments are presented showing the usefulness of this method compared to the classic EMD.
  • Publisher: Institute of Electrical and Electronics Engineers
  • Language: English
  • Identifier: ISSN: 1053-587X
    EISSN: 1941-0476
    DOI: 10.1109/TSP.2013.2265222
  • Source: Hyper Article en Ligne (HAL) (Open Access)
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