STATIONARY-POINTS OF THE RECURSIVE GENERALIZED LEAST-SQUARES ALGORITHM FOR ADAPTIVE NOTCH FILTERING

被引：2

作者：

DRAGOSEVIC, MV

机构：

[1] Inst of Nuclear Sciences Vinca, Belgrade

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 04期

关键词：

D O I：

10.1109/78.212740

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Possible convergence points of the generalized least squares adaptive notch filtering algorithm are analytically derived for the multiple sinusoid case, showing explicitly the dependence of the asymptotic bias on the pole contraction factor, signal-to-noise ratio and the true model parameters. The results for symmetric and nonsymmetric parameterization are compared.

引用

页码：1672 / 1675

页数：4

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