Title :
Class of constrained ARMA models for line enhancement using real-time QR implementation
Author :
Fitzgerald, William J. ; Geere, R.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
A new class of model is presented for the estimation of model parameters for narrowband signals in additive white noise. The new class of model consists of constrained ARMA models and these have been implemented using the QR algorithm using both off-line and real-time processing. The performance of this class of model is described and applications for adaptive line enhancement are given.
Keywords :
modelling; random noise; signal processing; QR algorithm; adaptive line enhancement; additive white noise; applications; class of model; constrained ARMA models; estimation of model parameters; narrowband signals; real-time QR implementation; real-time processing;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19911379
