A two stage approach for adaptive prediction of ARMA processes

A two-stage predictor is proposed. It is capable of predicting ARMA processes accurately with a reduced number of parameters. This is achieved by cascading a classical linear predictor, where the constraint on the predictor order is relaxed, and a pole-zero recursive like structure. Adaptive algorithms and sample results are given to demonstrate the excellent performance of the proposed technique.