Modelling Volterra series based on input/output data

Author

Yusof, Mat Ikram

Author_Institution

Universiti Teknologi MARA, Selangor, Malaysia

fYear

2003

fDate

14-15 Jan. 2003

Firstpage

222

Lastpage

225

Abstract

The method of obtaining the Volterra model from input/output data using OLS procedures is discussed. In principle, the orthogonal least squares procedures adopted here are capable of determining the first, second and higher order nonlinear impulse response functions. One example is included to demonstrate this approach.

Keywords

Gaussian noise; Volterra series; bandlimited signals; least squares approximations; transient response; white noise; Gaussian white bandlimited noise input; Volterra series modelling; continuous-time Wiener model; first order nonlinear impulse response functions; higher order nonlinear impulse response functions; input/output data; orthogonal least squares estimator; second order nonlinear impulse response functions; Additive noise; Colored noise; Kernel; Least squares approximation; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Predictive models; System identification; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunication Technology, 2003. NCTT 2003 Proceedings. 4th National Conference on

Print_ISBN

0-7803-7773-7

Type

conf

DOI

10.1109/NCTT.2003.1188340

Filename

1188340

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=392234