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New Adaptive Algorithm for Unbiased and Direct Estimation of Sinusoidal Frequency

Thomas PITSCHEL, Hing-Cheung SO, Jun ZHENG

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Summary :

A new adaptive filter algorithm based on the linear prediction property of sinusoidal signals is proposed for unbiased estimation of the frequency of a real tone in white noise. Similar to the least mean square algorithm, the estimator is computationally simple and it provides unbiased as well as direct frequency measurements. Learning behavior and variance of the estimated frequency are derived and confirmed by computer simulations.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.3 pp.872-874
Publication Date
2008/03/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e91-a.3.872
Type of Manuscript
LETTER
Category
Digital Signal Processing

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