Urfalıoğlu, O.Kuruoğlu, E. E.Çetin, A. Enis2016-02-082016-02-0820072165-0608http://hdl.handle.net/11693/27059Date of Conference: 11-13 June 2007Conference Name: 15th Signal Processing and Communications Applications, IEEE 2007In this paper, we consider the detection of rare events by applying particle filtering. We model the rare event as an AR signal superposed on a background signal. The activation and deactivation times of the AR-signal are unknown. We solve the online detection problem of this superpositional rare 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.TurkishArgonManagement scienceMathematical modelsSignal filtering and predictionSignal processingState space methodsEvent detectionNumerical experimentsOn-line detectionParticle FilteringRare eventsSequential Monte Carlo methodsState spacesMonte Carlo methodsConference Paper10.1109/SIU.2007.4298796