Bias and variance of spectral estimates from an all-pole digital filter

An adaptive digital filter, equivalent to a one step linear predictor, may be employed to determine spectral estimates closely related to the linear prediction all-pole model spectrum of the input signal. This paper presents an analysis of the bias and variance of this estimate for a filter using the Widrow-Hoff LMS algorithm. Results are compared with computer simulations for two four pole signals.