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Quantifying the Dynamical Complexity of Chaotic Time Series

dc.contributor.authorPoliti, Antonio
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2017-04-18T10:28:22Z
dc.date.available2017-04-18T10:28:22Z
dc.date.issued2017-04-07
dc.descriptionAcknowledgements The author wishes to acknowledge G. Giacomelli, M. Mulansky, and L. Ricci for early discussions.en
dc.description.statusPeer revieweden
dc.format.extent285210
dc.identifier96487492
dc.identifier153f390e-4709-4f07-b0e1-28d84bdca375
dc.identifier85017109871
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.doi10.1103/PhysRevLett.118.144101
dc.identifier.iss4en
dc.identifier.issn0031-9007
dc.identifier.otherORCID: /0000-0001-8688-1870/work/45204775
dc.identifier.urihttp://hdl.handle.net/2164/8506
dc.identifier.vol118en
dc.language.isoeng
dc.relation.ispartofPhysical Review Lettersen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleQuantifying the Dynamical Complexity of Chaotic Time Seriesen
dc.typeJournal itemen

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