Framework for online superimposed event detection by sequential Monte Carlo methods

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage2128en_US
dc.citation.spage2125en_US
dc.contributor.authorUrfalıoğlu, Onayen_US
dc.contributor.authorKuruoğlu, E. E.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialLas Vegas, NV, USA
dc.date.accessioned2016-02-08T11:38:08Z
dc.date.available2016-02-08T11:38:08Z
dc.date.issued2008-03-04en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 31 March-4 April 2008
dc.descriptionConference name: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing
dc.description.abstractIn this paper, we consider online seperation and detection of superimposed events by applying particle filtering. We concentrate on a model where a background process, represented by a 1D-signal, is superimposed by an Auto-Regressive (AR) 'event signal', but the proposed approach is applicable in a more general setting. The activation and deactivation times of the event-signal are assumed to be unknown. We solve the online detection problem of this superpositional event by extending the state space dimension by one. The additional parameter of the state represents the AR-signal, which is zero when deactivated. Numerical experiments demonstrate the effectiveness of our approach. ©2008 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:38:08Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008en
dc.identifier.doi10.1109/ICASSP.2008.4518062en_US
dc.identifier.urihttp://hdl.handle.net/11693/26866
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICASSP.2008.4518062en_US
dc.source.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.subjectBayesian statisticsen_US
dc.subjectConditional densityen_US
dc.subjectEvent detectionen_US
dc.subjectImportace samplingen_US
dc.subjectSIRen_US
dc.subjectAcousticsen_US
dc.subjectArgonen_US
dc.subjectMathematical modelsen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectSignal processingen_US
dc.subjectSpeechen_US
dc.subjectState space methodsen_US
dc.subjectMonte Carlo methodsen_US
dc.titleFramework for online superimposed event detection by sequential Monte Carlo methodsen_US
dc.typeConference Paperen_US

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