| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 565118 | Signal Processing | 2006 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Mu-Huo Cheng, Jau-Long Tsai,