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
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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