Direct frequency estimation based adaptive algorithm for a second-order adaptive FIR notch filter

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dc.contributor.authorPunchalard, R.
dc.contributor.authorLorsawatsiri, A.
dc.contributor.authorLoetwassana, W.
dc.contributor.authorKoseeyaporn, J.
dc.contributor.authorWardkein, P.
dc.contributor.authorRoeksabutr, A.
dc.date.accessioned2026-08-06T09:56:33Z
dc.date.available2026-08-06T09:56:33Z
dc.date.issued2008-02-01
dc.description.abstractThis work deals with the problem of the frequency estimation of a sinusoidal signal corrupted by broad-band noise. The direct frequency estimation based adaptive algorithm for a second-order adaptive finite impulse response (FIR) notch filter (AFNF) is thus proposed. The proposed algorithm employs the bias removal technique to remove the bias existing in the estimated parameter. The performances including the rate of convergence and the mean square error (MSE) can be easily controlled by using only one parameter, i.e., step size parameter. Moreover, the proposed filter is simple to implement and suitable for real-time applications. In addition, the difference equations for the convergence in the mean and mean square, and the closed form expressions for the steady-state estimation bias and MSE are also carried out. Finally, the simulation results are provided to confirm the theoretical analysis. © 2007 Elsevier B.V. All rights reserved.
dc.identifier.citationSignal Processing, 88(2), 315-325, 2008
dc.identifier.doi10.1016/j.sigpro.2007.08.004
dc.identifier.issn01651684
dc.identifier.other2-s2.0-35248887483
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1989
dc.sourceSignal Processing
dc.subjectFIR notch filter
dc.subjectGradient algorithm
dc.subjectUnbiased
dc.titleDirect frequency estimation based adaptive algorithm for a second-order adaptive FIR notch filter
dc.typeArticle

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