Optimization of generalized predictors

Abstract

Polynomial FIR predictors are generalized to include also the prediction of sinusoidal signals. A general optimization method is presented for optimizing these predictors, which gives optimal FIR predictors with respect to the noise gain, the autocorrelation matrix of additive noise and frequency response as special cases.