DocumentCode
3096890
Title
On the identifiability of bilinear stochastic systems
Author
Bourin, Christophe ; Bondon, Pascal
Author_Institution
Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
fYear
1997
fDate
21-23 Jul 1997
Firstpage
176
Lastpage
180
Abstract
Bilinear systems are useful to model nonlinear time series. They can be described by a nonlinear recursive equation involving a finite number of parameters. Their analysis and particularly the estimation of the parameters is of central interest. In this paper we establish difference equations between lagged moments and cumulants up to third-order of a simple bilinear model, and show how to use these relations to estimate the parameters
Keywords
bilinear systems; difference equations; higher order statistics; nonlinear equations; recursive estimation; signal processing; stochastic systems; time series; bilinear stochastic systems; cumulants; difference equations; estimation; identifiability; lagged moments; nonlinear recursive equation; nonlinear time series; Bonding; Control theory; Ear; Kernel; Nonlinear equations; Nonlinear systems; Parameter estimation; Random variables; Signal processing; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Banff, Alta.
Print_ISBN
0-8186-8005-9
Type
conf
DOI
10.1109/HOST.1997.613511
Filename
613511
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