Abstract
A new method for estimating autoregressive (AR) process coefficients for spectral estimation is introduced by minimising the average power of the forward covariance prediction error. AR spectra generated by this method are shown to have improved performance over AR spectra generated by the best alternative forward prediction error method, the Yule-Walker estimator.
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