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Analysis of Natural and Artificial Phenomena Using Signal Processing and Fractional Calculus

dc.contributor.authorMachado, J. A. Tenreiro
dc.contributor.authorLopes, António M.
dc.date.accessioned2016-01-21T11:02:42Z
dc.date.available2016-01-21T11:02:42Z
dc.date.issued2015
dc.description.abstractIn this paper we study several natural and man-made complex phenomena in the perspective of dynamical systems. For each class of phenomena, the system outputs are time-series records obtained in identical conditions. The time-series are viewed as manifestations of the system behavior and are processed for analyzing the system dynamics. First, we use the Fourier transform to process the data and we approximate the amplitude spectra by means of power law functions. We interpret the power law parameters as a phenomenological signature of the system dynamics. Second, we adopt the techniques of non-hierarchical clustering and multidimensional scaling to visualize hidden relationships between the complex phenomena. Third, we propose a vector field based analogy to interpret the patterns unveiled by the PL parameters.pt_PT
dc.identifier.doi10.1515/fca-2015-0029pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/7436
dc.language.isoengpt_PT
dc.publisherDe Gruyterpt_PT
dc.relation.ispartofseriesFractional Calculus and Applied Analysis;Vol. 18, Issue 2
dc.relation.publisherversionhttp://www.degruyter.com/view/j/fca.2015.18.issue-2/fca-2015-0029/fca-2015-0029.xmlpt_PT
dc.subjectComplex systemspt_PT
dc.subjectFourier transformpt_PT
dc.subjectClusteringpt_PT
dc.subjectVisualizationpt_PT
dc.titleAnalysis of Natural and Artificial Phenomena Using Signal Processing and Fractional Calculuspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage478pt_PT
oaire.citation.startPage459pt_PT
oaire.citation.titleFractional Calculus and Applied Analysispt_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.typearticlept_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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