Title: A new IIR adaptive notch filter
Authors: Cheng, MH
Tsai, JL
電控工程研究所
Institute of Electrical and Control Engineering
Keywords: adaptive notch filter;system identification;Steiglitz McBride method
Issue Date: 1-Jul-2006
Abstract: A new IIR adaptive notch filter (ANF) with fast convergence rate, accurate estimation of notch frequencies, and modest realization complexity is presented in this paper. The problem of obtaining a notch filter from a given signal containing multiple sine waves in noise is first formulated as the conventional problem of system identification. Then the new ANF is developed via the algorithm of Steiglitz McBride. Extensive simulations have been performed to verify the effectiveness of the ANF. (C) 2005 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.sigpro.2005.09.010
http://hdl.handle.net/11536/12042
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2005.09.010
Journal: SIGNAL PROCESSING
Volume: 86
Issue: 7
Begin Page: 1648
End Page: 1655
Appears in Collections:Articles


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