Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4798
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorSun, J-
dc.creatorZhang, J-
dc.creatorZhou, J-
dc.creatorXu, X-
dc.creatorSmall, M-
dc.date.accessioned2014-12-11T08:24:28Z-
dc.date.available2014-12-11T08:24:28Z-
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/10397/4798-
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.rightsPhysical Review E © 2008 The American Physical Society. The Journal's web site is located at http://pre.aps.org/en_US
dc.subjectAcoustic noiseen_US
dc.subjectChaotic systemsen_US
dc.subjectOscillators (electronic)en_US
dc.subjectPhase measurementen_US
dc.subjectSynchronisationen_US
dc.subjectTime delayen_US
dc.titleDetecting phase synchronization in noisy data from coupled chaotic oscillatorsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage7-
dc.identifier.volume77-
dc.identifier.issue4-
dc.identifier.doi10.1103/PhysRevE.77.046213-
dcterms.abstractTwo schemes are proposed to detect phase synchronization from chaotic data contaminated by noise. The first is a neighborhood-based method which links time delay embedding with instantaneous phase estimation. The second adopts the local projection method as a preprocessing filter to noisy data. Both schemes utilize the state recurrence, an important feature of chaotic data. The proposed schemes are applied to data measured from two typical chaotic systems, i.e., the coupled Rössler systems and the coupled Lorenz systems, respectively. The results show that phase synchronization, which may be buried by noise, is detected even when the noise level is high. Moreover, the overestimation of the degree of phase synchronization, which may be introduced by the Hilbert transform combined with a traditional linear bandpass filter, can be avoided when the data are contaminated by only measurement noise.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysical review. E, Statistical, nonlinear, and soft matter physics, 17 Apr. 2008, v. 77, no. 4, 046213, p. 1-7-
dcterms.isPartOfPhysical review. E, Statistical, nonlinear, and soft matter physics-
dcterms.issued2008-04-17-
dc.identifier.isiWOS:000255457000040-
dc.identifier.scopus2-s2.0-42449090279-
dc.identifier.eissn1550-2376-
dc.identifier.rosgroupidr38749-
dc.description.ros2007-2008 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Sun_Detecting_Temporal_Pseudoperiodic.pdf519.05 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

117
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

180
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

11
Last Week
0
Last month
0
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.