A survey of direct methods for identification of discrete Volterra systems is given. The Lee-Schetzen method and Korenberg's fast orthogonal algorithm (FOA) are reviewed. These methods are still useful and can be used as reference for other methods. We give practical considerations and suggestions for optimal use of these two methods coming up from the study of statistical simulations up to the third order.

Practical notes on two Volterra filter identification direct methods

M. Pirani
;
2002-01-01

Abstract

A survey of direct methods for identification of discrete Volterra systems is given. The Lee-Schetzen method and Korenberg's fast orthogonal algorithm (FOA) are reviewed. These methods are still useful and can be used as reference for other methods. We give practical considerations and suggestions for optimal use of these two methods coming up from the study of statistical simulations up to the third order.
2002
0780374487
Algorithms, Computer simulation, Gaussian noise (electronic), Identification (control systems), Mathematical models, Signal filtering and prediction, Time series analysis, White noise, Continuous functionals, Fading memory, Intermediate parametric kernel decomposition, Taylor series expansion, Time-invariant operator, Volterra filter, Electric filters
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12607/24695
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact