Title :
Modelling Volterra series based on input/output data
Author :
Yusof, Mat Ikram
Author_Institution :
Universiti Teknologi MARA, Selangor, Malaysia
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;
Conference_Titel :
Telecommunication Technology, 2003. NCTT 2003 Proceedings. 4th National Conference on
Print_ISBN :
0-7803-7773-7
DOI :
10.1109/NCTT.2003.1188340
