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A Statistical Approach for Tuning the Windowed Fourier Transform

dc.contributor.authorLima, Miguel F. M.
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-16T14:14:56Z
dc.date.available2019-04-16T14:14:56Z
dc.date.issued2010-10
dc.description.abstractThe windowed Fourier transform is one of the most widely used time-frequency representations. In order to use this technique several parameters must be defined according to the signal analyzed. In this paper are studied the effects of the type, the shape, the length and the overlap of the windows, and new method for tuning the window parameters is presented. The study method is based on the information theory and is applied to signals captured during the movement of a robotic manipulator. The experimental results demonstrate the applicability and the effectiveness of the proposed approach.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13608
dc.language.isoengpt_PT
dc.titleA Statistical Approach for Tuning the Windowed Fourier Transformpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra, Portugalpt_PT
oaire.citation.endPage2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleMME'2010pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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