Determination of Wavelet Ridges of Nonstationary Signals by Singular Value Decomposition

dc.contributor.author Özkurt, Nalan
dc.contributor.author Savacı, Ferit Acar
dc.coverage.doi 10.1109/TCSII.2005.849041
dc.date.accessioned 2016-07-20T06:43:10Z
dc.date.available 2016-07-20T06:43:10Z
dc.date.issued 2005
dc.description.abstract The ridges obtained from chaotic signals can give the relevant information about the phase structures of the dynamical systems. Therefore, a new wavelet ridge determination method for the noisy signals and nonstationary signals, which is based on the singular value decomposition (SVD) has been proposed in this paper. The proposed method has been compared with Carmona method for monocomponent signals, and multicomponent signals. The proposed method is computationally more effective than the Carmona method to determine the actual ridges. Also, the ridges of the periodic limit cycles and chaotic attractors have been determined by using the SVD-based method to find the degree of chaoticity. en_US
dc.identifier.citation Özkurt, N., and Savacı, F.A. (2005). Determination of wavelet ridges of nonstationary signals by singular value decomposition. IEEE Transactions on Circuits and Systems II: Express Briefs, 52(8), 480-485. doi:10.1109/TCSII.2005.849041 en_US
dc.identifier.doi 10.1109/TCSII.2005.849041
dc.identifier.issn 1057-7130
dc.identifier.scopus 2-s2.0-33644929879
dc.identifier.uri http://doi.org/10.1109/TCSII.2005.849041
dc.identifier.uri http://hdl.handle.net/11147/1931
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof IEEE Transactions on Circuits and Systems II: Express Briefs en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Chaos theory en_US
dc.subject Computational methods en_US
dc.subject Spurious signal noise en_US
dc.subject Signal filtering and prediction en_US
dc.subject Wavelet ridge en_US
dc.title Determination of Wavelet Ridges of Nonstationary Signals by Singular Value Decomposition en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Savacı, Ferit Acar
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Electrical and Electronics Engineering en_US
gdc.description.endpage 485 en_US
gdc.description.issue 8 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 480 en_US
gdc.description.volume 52 en_US
gdc.identifier.openalex W2095882573
gdc.identifier.wos WOS:000231394100010
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype BRONZE
gdc.oaire.diamondjournal false
gdc.oaire.impulse 5.0
gdc.oaire.influence 6.1224803E-9
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gdc.oaire.keywords Wavelet ridge
gdc.oaire.keywords Computational methods
gdc.oaire.keywords Signal filtering and prediction
gdc.oaire.keywords Chaos theory
gdc.oaire.keywords Spurious signal noise
gdc.oaire.popularity 4.6761874E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 1.24955429
gdc.openalex.normalizedpercentile 0.79
gdc.opencitations.count 23
gdc.plumx.crossrefcites 22
gdc.plumx.mendeley 18
gdc.plumx.scopuscites 37
gdc.scopus.citedcount 37
gdc.wos.citedcount 21
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