IEICE TRANSACTIONS on Fundamentals
New Adaptive Algorithm for Unbiased and Direct Estimation of Sinusoidal Frequency
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
Authors
Keyword
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Thomas PITSCHEL, Hing-Cheung SO, Jun ZHENG, "New Adaptive Algorithm for Unbiased and Direct Estimation of Sinusoidal Frequency" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 3, pp. 872-874, March 2008, doi: 10.1093/ietfec/e91-a.3.872.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.3.872/_p
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@ARTICLE{e91-a_3_872,
author={Thomas PITSCHEL, Hing-Cheung SO, Jun ZHENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={New Adaptive Algorithm for Unbiased and Direct Estimation of Sinusoidal Frequency},
year={2008},
volume={E91-A},
number={3},
pages={872-874},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e91-a.3.872},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - New Adaptive Algorithm for Unbiased and Direct Estimation of Sinusoidal Frequency
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 872
EP - 874
AU - Thomas PITSCHEL
AU - Hing-Cheung SO
AU - Jun ZHENG
PY - 2008
DO - 10.1093/ietfec/e91-a.3.872
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2008
AB - 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.
ER -
English
