UM
Greedy adaptive decomposition of signals based on nonlinear Fourier atoms
Kou,Kit Ian1; Li,Hong2
2016-05-01
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN0219-6913
Volume14Issue:3
AbstractThis paper aims at adaptive decomposition of signals in terms of nonlinear Fourier atoms. Each nonlinear Fourier atom is analytic and mono-component. The algorithm is considered as an adaptive greedy procedure based on nonlinear Fourier atoms. The convergence results for the proposed algorithms show that it is suitable to approximate a signal by a linear combinations of nonlinear Fourier atoms. Experiments are presented to illustrate the proposed algorithm and theory.
Keywordanalytic signal approximation Greedy algorithm nonlinear Fourier atom
DOI10.1142/S0219691316500144
URLView the original
Language英語English
Scopus ID2-s2.0-84971318193
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Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorLi,Hong
Affiliation1.Department of Mathematics,Faculty of Science and Technology,University of Macau,Taipa, Macao,Macao
2.School of Mathematics and Statistics,Huazhong University of Science and Technology,Wuhan,430074,China
First Author AffilicationFaculty of Science and Technology
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GB/T 7714
Kou,Kit Ian,Li,Hong. Greedy adaptive decomposition of signals based on nonlinear Fourier atoms[J]. International Journal of Wavelets, Multiresolution and Information Processing,2016,14(3).
APA Kou,Kit Ian,&Li,Hong.(2016).Greedy adaptive decomposition of signals based on nonlinear Fourier atoms.International Journal of Wavelets, Multiresolution and Information Processing,14(3).
MLA Kou,Kit Ian,et al."Greedy adaptive decomposition of signals based on nonlinear Fourier atoms".International Journal of Wavelets, Multiresolution and Information Processing 14.3(2016).
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