Identification of parallel-cascade Wiener systems using joint diagonalization of third-order Volterra kernel slices

Alain Y. Kibangou 1 Gérard Favier 2
1 LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SIGNAL
SIS - Signal, Images et Systèmes
Abstract : This letter is concerned with the parameter estimation of linear and nonlinear subsystems of parallel-cascade Wiener systems (PCWS). We first present the relationship between a PCWS and its associated Volterra model. We show that the coefficients of the linear subsystems can be obtained using a joint diagonalization of the third-order Volterra kernel slices. Then, the coefficients of the nonlinear subsystems are estimated using the least square algorithm. The proposed parameter estimation method is illustrated by means of simulation results
Keywords : Joint diagonalization Volterra kernels nonlinear systems parallel-cascade Wiener systems parameter estimation
Type de document :
Article dans une revue
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2009, 16 (3), pp.188-191. 〈10.1109/LSP.2008.2011706〉
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https://hal.archives-ouvertes.fr/hal-00417584
Contributeur : Thomas Bouilloc <>
Soumis le : mercredi 16 septembre 2009 - 11:42:28
Dernière modification le : mardi 24 avril 2018 - 13:48:05

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UNICE | I3S | UNIV-TLSE3 | INSA-TOULOUSE | UNIV-COTEDAZUR

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Alain Y. Kibangou, Gérard Favier. Identification of parallel-cascade Wiener systems using joint diagonalization of third-order Volterra kernel slices. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2009, 16 (3), pp.188-191. 〈10.1109/LSP.2008.2011706〉. 〈hal-00417584〉

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