AR-based method for change detection using dynamic cumulative sum

In this paper we propose a new method of signal detection when the parameters of the hypotheses to be detected are unknown. Detection method is based on dynamic cumulative sum of the local generalized likelihood ratios associated with Autoregressive (AR) modeling.

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Bibliographische Detailangaben
Hauptverfasser:	El Falou, W., Khalil, M., Duchene, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Band pass filters Detection algorithms Distributed control Event detection Frequency Signal detection Signal processing Signal to noise ratio Technological innovation Testing
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Beschreibung
Zusammenfassung:	In this paper we propose a new method of signal detection when the parameters of the hypotheses to be detected are unknown. Detection method is based on dynamic cumulative sum of the local generalized likelihood ratios associated with Autoregressive (AR) modeling.
DOI:	10.1109/ICECS.2000.911507