Title :
Multi-channel restricted structure estimators for linear and non-linear systems
Author :
Ali Naz, S. ; Grimble, M.J. ; Majecki, Pawel
Author_Institution :
Ind. Control Centre, Univ. of Strathclyde, Glasgow, UK
fDate :
7/1/2011 12:00:00 AM
Abstract :
The restricted structure (RS) optimal deconvolution filtering problem for multi-channel (linear and non-linear) discrete-time systems is considered. The main contribution of this study lies in developing the numerical procedure for designing reduced order estimators in multi-variable cases. Two simulation examples are used to illustrate the results. These are the enhancement of the lungs and the heart sound signals and the automotive air-fuel ratio estimation problem.
Keywords :
deconvolution; discrete time systems; nonlinear systems; reduced order systems; automotive air-fuel ratio estimation problem; heart sound signal; lungs enhancement; multichannel discrete-time system; multichannel restricted structure estimator; nonlinear system; numerical procedure; reduced order estimator; restricted structure optimal deconvolution filtering;
Journal_Title :
Signal Processing, IET
DOI :
10.1049/iet-spr.2008.0158
