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dc.contributor.authorPoliti, Antonio
dc.date.accessioned2017-04-18T10:28:22Z
dc.date.available2017-04-18T10:28:22Z
dc.date.issued2017-04-07
dc.identifier.citationPoliti , A 2017 , ' Quantifying the Dynamical Complexity of Chaotic Time Series ' , Physical Review Letters , vol. 118 , no. 4 , 144101 . https://doi.org/10.1103/PhysRevLett.118.144101en
dc.identifier.issn0031-9007
dc.identifier.otherPURE: 96487492
dc.identifier.otherPURE UUID: 153f390e-4709-4f07-b0e1-28d84bdca375
dc.identifier.otherScopus: 85017109871
dc.identifier.otherORCID: /0000-0001-8688-1870/work/45204775
dc.identifier.urihttp://hdl.handle.net/2164/8506
dc.descriptionAcknowledgements The author wishes to acknowledge G. Giacomelli, M. Mulansky, and L. Ricci for early discussions.en
dc.language.isoeng
dc.relation.ispartofPhysical Review Lettersen
dc.rights© 2017 American Physical Societyen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleQuantifying the Dynamical Complexity of Chaotic Time Seriesen
dc.typeJournal itemen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Mathematical Sciences (Research Theme)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1103/PhysRevLett.118.144101


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