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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creator | El Falou, W. Khalil, M. Duchene, J. |
description | 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_str_mv | 10.1109/ICECS.2000.911507 |
format | Conference Proceeding |
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identifier | ISBN: 0780365429 |
ispartof | ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445), 2000, Vol.1, p.157-160 vol.1 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Band pass filters Detection algorithms Distributed control Event detection Frequency Signal detection Signal processing Signal to noise ratio Technological innovation Testing |
title | AR-based method for change detection using dynamic cumulative sum |
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