OPTIMIZATION OF IIR POLYNOMIAL PREDICTIVE FILTER MAGNITUDE RESPONSE

Polynomial Predictive Filters (PPFs) are capable of predicting future values of a signal that can be modeled as a polynomial of a low degree . FIR PPFs succeed at predicting the signal, but suffer from poor stop band attenuation and exhibit a disturbing passband gain peak, The intr oduction of feedback terms to the basic FIR structure effectively reme dies these problems, but no well-developed method has been presented f or finding the optimal feedback coefficients. In this paper, we presen t a practical method for optimizing IIR PPF feedback coefficients base d on an arbitrary, lowpass-type magnitude response function supplied b y the user. A general p-norm error criterion is used, which enables ta rgeting both L-2 and near-L-infinity solutions. The proposed method is illustrated by the means of a practical example. (C) 1997 Elsevier Sc ience B.V.