DocumentCode
1744158
Title
Maximum likelihood estimation of Wiener models
Author
Hagenblad, Anna ; Ljung, Lennart
Author_Institution
Dept. of Electr. Eng., Linkoping Univ., Sweden
Volume
3
fYear
2000
fDate
2000
Firstpage
2417
Abstract
A Wiener model consists of a linear dynamic system followed by a static nonlinearity. The input and output are measured, but not the intermediate signal. We discuss the maximum likelihood estimate for Gaussian measurement and process noise, and the special cases when one of the noise sources is zero
Keywords
Gaussian noise; linear systems; maximum likelihood estimation; probability; Gaussian noise; Wiener model; linear dynamic system; maximum likelihood estimation; probability; process noise; Automatic control; Ear; Gaussian noise; Linear systems; Maximum likelihood estimation; Noise figure; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2000.914162
Filename
914162
Link To Document