DocumentCode
2853000
Title
Blind identification of Volterra-Hammerstein systems
Author
Kalouptsidis, Nicholas ; Koukoulas, Panos
Author_Institution
Dept. of Informatics & Telecommun., Athens Univ., Greece
fYear
2003
fDate
28 Sept.-1 Oct. 2003
Firstpage
202
Lastpage
205
Abstract
This paper is concerned with the blind identification of Volterra-Hammerstein systems excited by zero mean white Gaussian inputs. A new method is developed for the determination of the Volterra kernels. Output cumulants of order twice the nonlinearity degree of the system are employed.
Keywords
Gaussian processes; higher order statistics; identification; linear systems; multivariable systems; Volterra-Hammerstein systems; blind identification; zero mean white Gaussian inputs; Automation; Biological system modeling; Biomedical signal processing; Informatics; Kernel; Nonlinear systems; Power system modeling; Radar signal processing; Stochastic processes; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN
0-7803-7997-7
Type
conf
DOI
10.1109/SSP.2003.1289379
Filename
1289379
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