New adaptive algorithm for unbiased and direct estimation of sinusoidal frequency

Thomas PITSCHEL; Hing-Cheung So; Jun Zheng

doi:10.1093/ietfec/e91-a.3.872

New adaptive algorithm for unbiased and direct estimation of sinusoidal frequency

Thomas PITSCHEL, Hing-Cheung So, Jun Zheng

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

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. © 2008 The Institute of Electronics, Information and Communication Engineers.

Original language	English
Pages (from-to)	872-874
Journal	IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume	E91-A
Issue number	3
DOIs	https://doi.org/10.1093/ietfec/e91-a.3.872
Publication status	Published - 2008

Research Keywords

Adaptive filter
Fast algorithm
Frequency estimation

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title = "New adaptive algorithm for unbiased and direct estimation of sinusoidal frequency",

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. {\textcopyright} 2008 The Institute of Electronics, Information and Communication Engineers.",

keywords = "Adaptive filter, Fast algorithm, Frequency estimation",

author = "Thomas PITSCHEL and Hing-Cheung So and Jun Zheng",

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New adaptive algorithm for unbiased and direct estimation of sinusoidal frequency. / PITSCHEL, Thomas; So, Hing-Cheung; Zheng, Jun.
In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E91-A, No. 3, 2008, p. 872-874.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - New adaptive algorithm for unbiased and direct estimation of sinusoidal frequency

AU - PITSCHEL, Thomas

AU - So, Hing-Cheung

AU - Zheng, Jun

PY - 2008

Y1 - 2008

N2 - 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. © 2008 The Institute of Electronics, Information and Communication Engineers.

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. © 2008 The Institute of Electronics, Information and Communication Engineers.

KW - Adaptive filter

KW - Fast algorithm

KW - Frequency estimation

U2 - 10.1093/ietfec/e91-a.3.872

DO - 10.1093/ietfec/e91-a.3.872

M3 - RGC 21 - Publication in refereed journal

SN - 0916-8508

VL - E91-A

SP - 872

EP - 874

JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

IS - 3

ER -

New adaptive algorithm for unbiased and direct estimation of sinusoidal frequency

Abstract

Research Keywords

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