NDLI: On unbiased adaptive IIR filtering algorithms

Content Provider	IEEE Xplore Digital Library
Author	Cousseau, J.E. Donate, P.D. Diniz, P.S.R.
Copyright Year	1998
Description	Author affiliation: Dept. de Ing. Electrica, Univ. Nacional del Sur, Bahia Blanca, Argentina (Cousseau, J.E.)
Abstract	Some properties of a recently proposed unbiased criteria for adaptive IIR filtering, namely the Master-slave Expanded Numerator Algorithm (XNA), is investigated. The XNA algorithm combines the minimization of two criteria that are quadratic in the parameters. Although the XNA method achieves an unbiased behavior in sufficient-order system identification applications, it generates undesired stationary points. Through the study presented in this paper, explicit expressions for the unwanted stationary points can be obtained. By closely examining the obtained results, a new unbiased adaptive IIR filtering algorithm is presented. Using similar ideas to the Steiglitz-McBride method, the new algorithm is based on the minimization of an off-line error function. After the proposal of the new unbiased (off-line) algorithm, which is quadratic in the parameters, we present the analysis of the possible stationary points. Some examples are shown illustrating the performance of the new algorithm in a system identification application.
Starting Page	317
Ending Page	320
File Size	352554
Page Count	4
File Format	PDF
ISBN	0780344553
DOI	10.1109/ISCAS.1998.694477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering algorithms System identification Adaptive filters Master-slave Samarium Minimization methods Noise reduction Decision feedback equalizers Robust stability Computational complexity
Content Type	Text
Resource Type	Article

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