Applications of output error recursive estimation algorithms for adaptive signal processing

Several problems in signal processing can be approached as recursive identification problems for AR, ARMA or ARMAX models. The output error with extended estimation model adaptive algorithm is proposed and evaluated for real-time estimation of the parameters of the signal model. The applications of these techniques for the adaptive signal processing are presented. The theoretical aspects related to the convergence properties of this algorithm are also discussed.