Adaptive Noise Cancellation for a Class of Non-Linear IIR Filters
Billings, S.A., El Hitmy, M. and Curtis, A.R.D.
(1989)
Adaptive Noise Cancellation for a Class of Non-Linear IIR Filters.
Research Report.
Acse Report 351
.
Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
A new filter structure known as the NARMAX model (Nonlinear AutoRegressive Moving Average model with eXogenous inputs)is introduced as a basis for the design of a class of nonlinear filters which can be used for noise cancellation. The new design is an extension of the classical IIR filter and it is shown that the filter parameters can be estimated using a suboptimal least squares algorithm originally developed for system identification. Conditions for the convergence of the algorithm are briefly discussed and simulation results are presented which show the effectiveness of the new structure.
Metadata
Item Type:
Monograph
Authors/Creators:
Billings, S.A.
El Hitmy, M.
Curtis, A.R.D.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)