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dc.contributor.authorÖzer, B.en_US
dc.contributor.authorAltintaş, A.en_US
dc.contributor.authorMoral G.en_US
dc.contributor.authorArikan, O.en_US
dc.date.accessioned2016-02-08T12:14:01Z
dc.date.available2016-02-08T12:14:01Z
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/11693/28202
dc.description.abstractIn this study, Particle Swarm Optimization(PSO) is proposed for change point (edge) detection on noisy ramped signals. By taking moving averages between detected edges, noise on ramped signals is filtered and desired piecewise constant signals are acquired. It is required to detect edges in the immediate vicinity of actual edges. Performance of PSO is measured by the difference between estimated and actual position of edges. It is not possible to satisfy such a condition by standard PSO. Hence, in this work, two modifications to standard PSO are proposed: "PSO with uniformly distributed position vectors" and "Cascading PSO". Throughout this work, all implementations are done on real signals which indicate generated powers by plants. © 2012 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2012.6204603en_US
dc.subjectChange-pointsen_US
dc.subjectLine fittingen_US
dc.subjectMoving averagesen_US
dc.subjectPiecewise constanten_US
dc.subjectPosition vectoren_US
dc.subjectReal signalsen_US
dc.subjectStandard PSOen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectSignal detectionen_US
dc.titlePiecewise constant line fitting on noisy ramped signals by particle swarm optimizationen_US
dc.title.alternativeParçacik sürü optimizasyonu ile gürültülü rampa sinyallere sabit parçali sinyallerin oturtulmasien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.identifier.doi10.1109/SIU.2012.6204603en_US


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