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On tracking properties of real-valued generalized adaptive notch filters

Abstract

Generalized adaptive notch filters (GANFs) are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The paper presents results of local performance analysis of a real-valued GANF algorithm, i.e., algorithm designed to track parameters of a real-valued system. This is an extension of the previous work which focused on complexvalued systems. Tracking properties of the algorithm are studied analytically using an approximating linear filter technique and an averaging approach. Even though restricted to a single frequency case, the presented analysis provides interesting insights into the tracking mechanisms of GANF and allows one to formulate some useful rules of thumb for choosing design parameters.

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Category:
Articles
Type:
artykuł w czasopiśmie z listy filadelfijskiej
Published in:
IEEE TRANSACTIONS ON SIGNAL PROCESSING no. 55, pages 1688 - 1695,
ISSN: 1053-587X
Language:
English
Publication year:
2007
Bibliographic description:
Niedźwiecki M., Sobociński A.: On tracking properties of real-valued generalized adaptive notch filters// IEEE TRANSACTIONS ON SIGNAL PROCESSING. -Vol. 55., nr. nr 5 (2007), s.1688-1695
DOI:
Digital Object Identifier (open in new tab) 10.1109/tsp.2006.890863
Verified by:
Gdańsk University of Technology

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