DocumentCode
417433
Title
Factorized all-pass IIR adaptive notch filters
Author
Cousseau, J.E. ; Doñate, P.D. ; Liu, Y.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. Nacional del Sur, Bahia Blanca, Argentina
Volume
2
fYear
2004
fDate
17-21 May 2004
Abstract
A new family of IIR adaptive notch filters is presented. The family is based on a second-order factorization of the all-pass transfer function that forms the multiple notch filter. These realizations represent an extension of a previous ad-hoc scheme for adaptive notch filtering that avoids a high-order polynomial root finding in order to obtain the unknown frequencies of interest. An interesting aspect related to these novel algorithms is the fact that they introduce a different compromise between bias and SNR if compared with previous realizations available in the literature. Specifically, lower bias than in other approaches for low SNR can be achieved using the new realizations. This property is particularly attractive for multiple sinusoids estimation and tracking. In addition to the algorithm presentation, a discussion of the different properties and characteristics (stationary points, convergence) is included. Also, computer simulations are presented to illustrate the expected performance of the proposed adaptive filters.
Keywords
IIR filters; adaptive filters; all-pass filters; notch filters; parameter estimation; tracking; transfer functions; IIR filters; SNR; adaptive filters; all-pass filters; all-pass transfer function; factorized all-pass IIR adaptive notch filters; multiple notch filter; multiple sinusoids estimation; multiple sinusoids tracking; second-order factorization; Adaptive filters; Adaptive signal processing; Bandwidth; Finite impulse response filter; Frequency estimation; IIR filters; Laboratories; Poles and zeros; Polynomials; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326344
Filename
1326344
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