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dc.contributor.authorGasca, Maria Victoria
dc.contributor.authorMolinas Cabrera, Maria Marta
dc.contributor.authorFosso, Olav B
dc.contributor.authorBueno-Lopez, Maximiliano
dc.date.accessioned2018-12-11T09:21:51Z
dc.date.available2018-12-11T09:21:51Z
dc.date.created2018-07-25T14:59:10Z
dc.date.issued2018
dc.identifier.citationIEEE Latin America Transactions. 2018, 16 (4), 1091-1098.nb_NO
dc.identifier.issn1548-0992
dc.identifier.urihttp://hdl.handle.net/11250/2577056
dc.description.abstractTime and frequency localizations are of crucial importance in the analysis of nonlinear and non-stationary processes, especially in systems with high level of complexity where detection of information/events, estimation of parameters and classification of signals in classes is necessary to take decisions. The Hilbert Huang Transform (HHT) offers an adaptive approach to analyze no-linear and non-stationary processes. This paper exposes the HHT approach and its new methodologies for improvement of the analysis, such as the masking process. Two examples are given to show the techniques, first a synthetic signal, representing a typical behavior of an electrical signal immersed in a power electronic environment and second a brain signal to extend the acknowledgment to a biological process. Finally a mode mixing separation technique is presented.nb_NO
dc.language.isospanb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.urihttps://ieeexplore.ieee.org/document/8362142/
dc.titleTime-Frequency analysis for nonlinear and non-stationary signals using HHT: A mode mixing separation techniquenb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber1091-1098nb_NO
dc.source.volume16nb_NO
dc.source.journalIEEE Latin America Transactionsnb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.1109/TLA.2018.8362142
dc.identifier.cristin1598647
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,25,0
cristin.unitcode194,63,20,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.unitnameInstitutt for elkraftteknikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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