Publication:
Automated system for weak periodic signal detection based on duffing oscillator

dc.contributor.coauthorAkilli, Mahmut
dc.contributor.coauthorAkdeniz, Kamil Gediz
dc.contributor.departmentDepartment of Physics
dc.contributor.kuauthorYılmaz, Nazmi
dc.contributor.schoolcollegeinstituteCollege of Sciences
dc.date.accessioned2024-11-09T22:50:19Z
dc.date.issued2020
dc.description.abstractThe periodic signals that have predictable and deterministic characteristics are used in the analysis and modelling of dynamical systems in diverse fields. These signals can be detected as the weak signals within the time series obtained from the measurable processes of dynamical systems. The Duffing oscillator is effective in detecting weak periodic signals with a very low signal-to-noise ratio. In this study, the authors present a method to automate the weak periodic signal detection of the Duffing oscillator using a quantitative index for the classification of the periodic and non-periodic signals. In this method, the authors use the wavelet scale index as the quantitative index in the classification of signals. Thus, they are able to plot the wavelet scale index spectrum of the Duffing oscillator where the frequency values of the weak periodic signals correspond to near-zero wavelet scale index parameters. First, the authors perform simulations using the method and detect weak periodic signals embedded in noise. Then, they employ two electroencephalogram signals to demonstrate the feasibility of the proposed method in the empirical data. Lastly, they compare the method to the periodogram power spectral density estimate based on fast Fourier transform.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue10
dc.description.openaccessNO
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume14
dc.identifier.doi10.1049/iet-spr.2020.0203
dc.identifier.eissn1751-9683
dc.identifier.issn1751-9675
dc.identifier.scopus2-s2.0-85103294531
dc.identifier.urihttps://doi.org/10.1049/iet-spr.2020.0203
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6654
dc.identifier.wos634808300002
dc.keywordsEngineering, electrical and electronic
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofIet Signal Processing
dc.subjectElectrical electronics engineering
dc.titleAutomated system for weak periodic signal detection based on duffing oscillator
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Nazmi
local.publication.orgunit1College of Sciences
local.publication.orgunit2Department of Physics
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