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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Hauptverfasser: El Falou, W., Khalil, M., Duchene, J.
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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
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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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