This correspondence describes a method for estimating the parameters of an autoregressive (AR) process from a finite number of noisy measurements. The method uses a modified set of Yule-Walker (YW) equations that lead to a quadratic eigenvalue problem that, when solved, gives estimates of the AR parameters and the measurement noise variance
Published in:
Signal Processing, IEEE Transactions on
(Volume:46
,
Issue:
2
)
Date of Publication: Feb 1998