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Adaptive Notch Filters for Prediction of Narrow Band Signals

Abstract : This paper proposes efficient structures of Adaptive Notch Filters (ANF) implemented as constrained ARMA models. These ANF suit very well for fast frequencies tracking and evolutionary spectrum analysis for narrow band and sinusoidal signals in additive noise. Lastly, non-stationary ANF are considered and an estimation procedure implemented.
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Contributor : Kouider Nacer M'Sirdi Connect in order to contact the contributor
Submitted on : Saturday, December 15, 2018 - 11:46:54 AM
Last modification on : Thursday, July 14, 2022 - 4:08:50 AM
Long-term archiving on: : Saturday, March 16, 2019 - 1:39:46 PM


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  • HAL Id : hal-01956284, version 1


N. M'Sirdi, Antoine Monneau, Aziz Naamane. Adaptive Notch Filters for Prediction of Narrow Band Signals. EFEA 2018 September 24 - 26 in Rome, Italy, Sep 2018, Valencia, Italy. ⟨hal-01956284⟩



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