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A fast and accurate single frequency estimator

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1 Author(s)
Kay, S. ; Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA

A novel frequency estimator for a single complex sinusoid in complex white Gaussian noise is proposed. The estimator is more computationally efficient that the optimal maximum-likelihood estimator yet attains equally good performance at moderately high signal-to-noise ratios. The estimator is shown to be related to the linear prediction estimator. This relationship is used to reveal why the linear prediction estimator does not attain the Cramer-Rao bound even at high signal-to-noise ratios

Published in:

Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:37 ,  Issue: 12 )

Date of Publication:

Dec 1989

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