Article SCOPUS
Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon  (2023)

An Iterative Estimation Algorithm for a Class of Wiener System Model Utilizing a Piece-Wise Linear Approximation

Carvajal, Rodrigo; Aguero, Juan C.

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. © 2023 IEEE.

Más información

Título según SCOPUS: An Iterative Estimation Algorithm for a Class of Wiener System Model Utilizing a Piece-Wise Linear Approximation
Título de la Revista: Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2023
Idioma: Spanish
DOI:

10.1109/CHILECON60335.2023.10418705
Notas: SCOPUS