4.6 Article

A new IIR adaptive notch filter

期刊

SIGNAL PROCESSING
卷 86, 期 7, 页码 1648-1655

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2005.09.010

关键词

adaptive notch filter; system identification; Steiglitz McBride method

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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.

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