By Topic

Toeplitz–Vandermonde Matrix Factorization With Application to Parameter Estimation of Wiener–Hammerstein Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kibangou, A.Y. ; CNRS-UNSA, Sophia Antipolis ; Favier, G.

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

Published in:

Signal Processing Letters, IEEE  (Volume:14 ,  Issue: 2 )