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Self-Similar Property of Random Signals: Solution of Inverse Problem

dc.contributor.authorNigmatullin, Raoul R.
dc.contributor.authorMachado, J. A. Tenreiro
dc.date.accessioned2017-06-02T15:38:11Z
dc.date.available2017-06-02T15:38:11Z
dc.date.issued2013
dc.description.abstractMany random signals with clearly expressed trends can have selfsimilar properties. In order to see this self-similar property new presentation of signals is suggested. A novel algorithm for inverse solution of the scaling equation is developed. This original algorithm allows finding the scaling parameters, the corresponding power-law exponent and the unknown log-periodic function from the fitting procedure. The effectiveness of algorithm is tested in financial data revealing season fluctuations of annual, monthly and weekly prices. The general recommendations are given that allow the verification of this algorithm in general data series.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.5890/JAND.2013.04.003pt_PT
dc.identifier.issn2164−6457
dc.identifier.urihttp://hdl.handle.net/10400.22/9869
dc.language.isoengpt_PT
dc.relation.ispartofseriesJournal of Applied Nonlinear Dynamics;Vol.2, Issue 2
dc.subjectScaling equationpt_PT
dc.subjectSelf-similar properties of random signalspt_PT
dc.subjectInverse solutionpt_PT
dc.titleSelf-Similar Property of Random Signals: Solution of Inverse Problempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage150pt_PT
oaire.citation.startPage141pt_PT
oaire.citation.titleJournal of Applied Nonlinear Dynamicspt_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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