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Mono-components vs IMFs in signal decomposition
Qian, Tao1; Zhang, Liming1; Li, Hong2
2008-05-01
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN02196913
Volume6Issue:3Pages:353-374
Abstract

The concepts of intrinsic mode functions and mono-components are investigated in relation to the empirical mode decomposition. Mono-components are defined to be the functions for which non-negative analytic instantaneous frequency is well defined. We show that a great variety of functions are mono-components based on which adaptive decomposition of signals are theoretically possible. We justify the role of empirical mode decomposition in signal decomposition in relation to mono-components.

KeywordInstantaneous Frequency Hilbert Transform Mono-component Empirical Mode Decomposition Intrinsic Mode Functions Hilbert–huang Transform
DOI10.1142/S0219691308002392
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000257762000002
The Source to ArticleEngineering Village
Scopus ID2-s2.0-44349117951
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.University of Macau, P.O. Box 3001, Macau
2.Huazhong University of Science and Technology Wuhan 430074, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Qian, Tao,Zhang, Liming,Li, Hong. Mono-components vs IMFs in signal decomposition[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2008, 6(3), 353-374.
APA Qian, Tao., Zhang, Liming., & Li, Hong (2008). Mono-components vs IMFs in signal decomposition. International Journal of Wavelets, Multiresolution and Information Processing, 6(3), 353-374.
MLA Qian, Tao,et al."Mono-components vs IMFs in signal decomposition".International Journal of Wavelets, Multiresolution and Information Processing 6.3(2008):353-374.
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