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Proceedings Paper

Identification of a class of time-invariant and time-varying nonlinear systems under non-Gaussian excitation
Author(s): Johnathon C. Ralston; Abdelhak M. Zoubir; Boualem Boashash
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Paper Abstract

We consider the identification of nonlinear systems when the excitation is a non-Gaussian process. Closed from expressions are found for a class of nonlinear time-invariant as well as for time-varying systems which are excited by stationary and nonstationary inputs, respectively. The nonlinear model used represents a subset of the Volterra series, judiciously chosen so that closed form expressions can be resolved for non-Gaussian inputs. Nonlinear coherence functions are also derived in closed form. Estimation issues are discussed. Two examples are given to illustrate the general results.

Paper Details

Date Published: 7 June 1995
PDF: 12 pages
Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); doi: 10.1117/12.211393
Show Author Affiliations
Johnathon C. Ralston, Queensland Univ. of Technology (Australia)
Abdelhak M. Zoubir, Queensland Univ. of Technology (Australia)
Boualem Boashash, Queensland Univ. of Technology (Australia)


Published in SPIE Proceedings Vol. 2563:
Advanced Signal Processing Algorithms
Franklin T. Luk, Editor(s)

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