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
Link To Document :
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