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Article: Adaptive notch filter by direct frequency estimation

TitleAdaptive notch filter by direct frequency estimation
Authors
Chen, B-SYang, T-YLin, B-H
KeywordsAdaptive Notch Filter, Recursive Prediction-Error Algorithm
Cramer-Rao Bound
Issue Date1992
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/sigpro
Citation
Signal Processing, 1992, v. 27 n. 2, p. 161-176 How to Cite?
AbstractIn this paper, an adaptive notch filter is investigated for eliminating sinusoids imbedded in noise. The algorithm estimates the sinusoidal frequencies directly from data samples to avoid the variation caused by small perturbation in the estimated coefficients of the filter. And then the notch filter is designed in terms of the estimated frequencies. The stability of the adaptive notch filter can always be ensured without any stability monitoring during adaptive processing. It converges rapidly and attains the Cramer-Rao bound (CRB) for a sufficient large data set. Simulation results are included to demonstrate the performance of the algorithm. © 1992.
Persistent Identifierhttp://hdl.handle.net/10722/91058
ISSN
0165-1684
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 1.065
ISI Accession Number ID
WOS:A1992HY63400005

 

DC FieldValueLanguage
dc.contributor.authorChen, B-Sen_HK
dc.contributor.authorYang, T-Yen_HK
dc.contributor.authorLin, B-Hen_HK
dc.date.accessioned2010-09-17T10:12:24Z-
dc.date.available2010-09-17T10:12:24Z-
dc.date.issued1992en_HK
dc.identifier.citationSignal Processing, 1992, v. 27 n. 2, p. 161-176en_HK
dc.identifier.issn0165-1684en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91058-
dc.description.abstractIn this paper, an adaptive notch filter is investigated for eliminating sinusoids imbedded in noise. The algorithm estimates the sinusoidal frequencies directly from data samples to avoid the variation caused by small perturbation in the estimated coefficients of the filter. And then the notch filter is designed in terms of the estimated frequencies. The stability of the adaptive notch filter can always be ensured without any stability monitoring during adaptive processing. It converges rapidly and attains the Cramer-Rao bound (CRB) for a sufficient large data set. Simulation results are included to demonstrate the performance of the algorithm. © 1992.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/sigproen_HK
dc.relation.ispartofSignal Processingen_HK
dc.subjectAdaptive Notch Filter, Recursive Prediction-Error Algorithmen_HK
dc.subjectCramer-Rao Bounden_HK
dc.titleAdaptive notch filter by direct frequency estimationen_HK
dc.typeArticleen_HK
dc.identifier.emailLin, B:blin@hku.hken_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0026869121en_HK
dc.identifier.volume27en_HK
dc.identifier.issue2en_HK
dc.identifier.spage161en_HK
dc.identifier.epage176en_HK
dc.identifier.isiWOS:A1992HY63400005-
dc.identifier.issnl0165-1684-

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