Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
564655 | Digital Signal Processing | 2014 | 12 Pages |
Abstract
An automatic gain tuning algorithm is proposed for a recently introduced adaptive notch filter. Theoretical analysis and simulations show that, under Gaussian random-walk type assumptions, the proposed extension is capable of adjusting adaptation gains of the filter so as to minimize the mean-squared frequency tracking error without prior knowledge of the true frequency trajectory. A simplified one degree of freedom version of the filter, recommended for practical applications, is proposed as well.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Michał Meller,