Details
Presenter(s)
![Yoichi Hinamoto Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/20201.jpg?h=2c4e73f8&itok=tFgQML1T)
Display Name
Yoichi Hinamoto
- Affiliation
-
AffiliationNational Institute of Technology, Kagawa College
- Country
-
CountryJapan
Abstract
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.