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
收藏
页码：391 / 394
页数：4
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