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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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.
Creators(s): | Naz, Shamsher Ali, Grimble, M.J. and Majecki, P.M.; | Item type: | Article |
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ID code: | 25828 |
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: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/25828 |
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