A State-Space Approach for Adaptive Second-Order IIR Notch Filters with Constrained Poles and Zeros

被引：1

作者：

Hinamoto, Yoichi ^{[1
]}

Nishimura, Shotaro ^{[2
]}

机构：

[1] Kagawa Coll, Natl Inst Technol, Dept Elect & Comp Engn, Takamatsu, Kagawa 7618058, Japan

[2] Shimane Univ, Matsue, Shimane 6908504, Japan

来源：

2021 IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2021年

关键词：

VARIABLE STEP-SIZE; ALGORITHM; ENHANCEMENT; SINUSOIDS;

D O I：

10.1109/MWSCAS47672.2021.9531728

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with a state-space approach for adaptive second-order IIR notch filters with constrained poles and zeros. A simplified adaptive iterative algorithm is derived from the gradient-descent method for minimizing the mean-squared output error of an adaptive notch filter. Stability and parameter estimation bias are analyzed for the adaptive iterative algorithm. A numerical example is presented to demonstrate the validity and effectiveness of the proposed adaptive state-space notch filter and parameter-estimation bias analysis.

引用

页码：391 / 394

页数：4

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