학술논문
An Iterative Estimation Algorithm for a Class of Wiener System Model Utilizing a Piece-Wise Linear Approximation
Document Type
Conference
Source
2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2023 IEEE CHILEAN Conference on. :1-6 Dec, 2023
Subject
Language
ISSN
2832-1537
Abstract
In this paper, we develop a Maximum likelihood estimation algorithm for a class of Wiener system written in a linear regression form. The output non-linearity is approximated by utilizing a piece-wise linear function. An iterative algorithm is proposed to estimate the linear regression model and the parameters of the piece-wise linear approximation. Closed-form expressions to estimate parameters are obtained. The benefits of our proposal are illustrated via numerical simulations.