Toeplitz-Vandermonde matrix factorization with application to parameter estimation of Wiener-Hammerstein systems

Abstract : In this letter, we present an algorithm for computing the factors of a matrix bilinear decomposition when the factors are constrained to have a Toeplitz and a Vandermonde structure. The proposed algorithm is constituted by a set of recurrence relations derived when the matrix to be decomposed has at least three columns. This algorithm is then used for estimating nondiagonal coefficients of Volterra kernels associated with a Wiener-Hammerstein system
Type de document :
Article dans une revue
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2007, 14 (2), pp.141-144. <10.1109/LSP.2006.882101>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00417634
Contributeur : Thomas Bouilloc <>
Soumis le : mercredi 16 septembre 2009 - 14:30:24
Dernière modification le : mercredi 5 mai 2010 - 10:02:32

Identifiants

Collections

Citation

Alain Y. Kibangou, Gérard Favier. Toeplitz-Vandermonde matrix factorization with application to parameter estimation of Wiener-Hammerstein systems. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2007, 14 (2), pp.141-144. <10.1109/LSP.2006.882101>. <hal-00417634>

Partager

Métriques

Consultations de la notice

70