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
Authors/Creators:
Billings, S.A.
El Hitmy, M.
Curtis, A.R.D.
Copyright, Publisher and Additional Information:
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