Paper data
Title:
A novel frequency estimator and its comparative performances for short record lenghts
Author(s):
So H.C., Department of Computer Engineering & Information Technology, City University of Hong Kong
Ip S.K., Department of Computer Engineering & Information Technology, City University of Hong Kong
Page numbers in the proceedings:
Volume III pp 445-448
Session:
Spectral Estimation
A novel frequency estimator and its comparative performances for short record lenghts
Author(s):
So H.C., Department of Computer Engineering & Information Technology, City University of Hong Kong
Ip S.K., Department of Computer Engineering & Information Technology, City University of Hong Kong
Page numbers in the proceedings:
Volume III pp 445-448
Session:
Spectral Estimation
Paper abstract
Based on the linear prediction property of sinusoidal signals, a closed form unbiased frequency estimator for a real sinusoid in white noise is devised. The frequency estimate is determined from minimization of a modified least squares cost function. Computer simulations are included to evaluate the performance of the proposed estimator by comparing with existing closed form frequency estimators and the Cramer-Rao lower bound, particularly for short observation intervals.
Paper
