INVESTIGATION NONLINEAR BEHAVIOR OF RADON GAS (222Rn)

dc.contributor.authorKamislioglu, Mirac
dc.contributor.authorKulahci, Fatih
dc.date.accessioned2026-08-12T16:58:42Z
dc.date.issued2014
dc.departmentFırat Üniversitesi
dc.description22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY
dc.description.abstractFor chaotic structure showed dynamic system chaos analysis are used phase space reconstruction, correlation dimension and maximum Lyapunov exponent method and such methods. Chaotic time series analysis method is benefit signal processing method for determine of nonlinear behavior of dynamic system. In this study, the methods explained for the chaotic analysis of the time series, which is obtained based on the discrete or continuous measurements of a variable. In this work, for dynamic system analysis, a time series occurred with radon (Rn-222 gas) concentration. Chaotic structure determine, the monitoring trajectory that is a quantitative analysis method and the qualitative analysis methods were used such as the Lyapunov exponent, correlation dimension and power spectrum analysis.
dc.description.sponsorshipIEEE,Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engn
dc.identifier.endpage211
dc.identifier.isbn978-1-4799-4874-1
dc.identifier.issn2165-0608
dc.identifier.orcid0000-0002-0666-8832
dc.identifier.orcid0000-0001-6566-4308
dc.identifier.startpage208
dc.identifier.urihttps://hdl.handle.net/11508/46990
dc.identifier.wosWOS:000356351400032
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2014 22Nd Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectStrange Attractors
dc.subjectLyapunov Exponents
dc.titleINVESTIGATION NONLINEAR BEHAVIOR OF RADON GAS (222Rn)
dc.typeConference Object

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