Research Article
Open Access
- Massimiliano Pirani1Email author,
- Simone Orcioni1 and
- Claudio Turchetti1
EURASIP Journal on Advances in Signal Processing20042004:145457
https://doi.org/10.1155/S1110865704403011
© Pirani et al. 2004
Received: 1 September 2003
Published: 29 September 2004
Abstract
The estimation of diagonal elements of a Wiener model kernel is a well-known problem. The new operators and notations proposed here aim at the implementation of efficient and accurate nonparametric algorithms for the identification of diagonal points. The formulas presented here allow a direct implementation of Wiener kernel identification up to the
th order. Their efficiency is demonstrated by simulations conducted on discrete Volterra systems up to fifth order.
Keywords and phrases
nonlinear system identificationWiener kernelsVolterra filtering
Authors’ Affiliations
(1)
Dipartimento di Elettronica, Intelligenza artificiale e Telecomunicazioni, Università Politecnica delle Marche, Ancona, Italy
Copyright
© Pirani et al. 2004