Multi-channel restricted structure estimators for linear and nonlinear systems

Shamsher Ali Naz, M.J. Grimble, P.M. Majecki

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.
LanguageEnglish
Pages407-417
Number of pages11
JournalIET Signal Processing
Volume5
Issue number4
DOIs
Publication statusPublished - 16 Feb 2009

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Deconvolution
Linear systems
Nonlinear systems
Acoustic waves
Air

Keywords

  • restricted structure
  • filtering
  • discrete-time systems

Cite this

Naz, Shamsher Ali ; Grimble, M.J. ; Majecki, P.M. / Multi-channel restricted structure estimators for linear and nonlinear systems. In: IET Signal Processing. 2009 ; Vol. 5, No. 4. pp. 407-417.
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Multi-channel restricted structure estimators for linear and nonlinear systems. / Naz, Shamsher Ali; Grimble, M.J.; Majecki, P.M.

In: IET Signal Processing, Vol. 5, No. 4, 16.02.2009, p. 407-417.

Research output: Contribution to journalArticle

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