Multi-channel restricted structure estimators for linear and nonlinear systems

Naz, Shamsher Ali and Grimble, M.J. and Majecki, P.M. (2009) Multi-channel restricted structure estimators for linear and nonlinear systems. IET Signal Processing, 5 (4). pp. 407-417.

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Official URL: https://doi.org/10.1049/iet-spr.2008.0158

Abstract

The Restricted Structure(RS)optimal deconvolution filtering problem for Multi-Channel (linear and nonlinear) discrete-time systems is considered in this paper. The main contribution of the paper lies in developing the numerical procedure for designing reduced order estimators in multivariable cases. Two simulation examples are used to illustrate the results. These are: the enhancement of the lung and the heart sound signals and the automotive air-fuel ratio estimation problem.

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Item metadata

Item type:	Article
ID code:	25828
Dates:	Date Event 16 February 2009 Published
Keywords:	restricted structure, filtering, discrete-time systems, Electrical engineering. Electronics Nuclear engineering, Signal Processing, Electrical and Electronic Engineering
Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
Department:	Faculty of Engineering > Electronic and Electrical Engineering
Depositing user:	Ms Sheila Campbell
Date deposited:	13 Jul 2010 09:23
Last modified:	20 Jan 2021 18:56
Related URLs:	Journal or Publication
URI:	https://strathprints.strath.ac.uk/id/eprint/25828

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