Nonlinear Estimation of Harmonic Signals
Summary :
A nonlinear harmonic estimator (NHE) is proposed for extracting a harmonic signal and its fundamental frequency in the presence of white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a multiple sinusoidal model with state-representation and then efficiently specializing it for the case of harmonic estimation. The effectiveness of the NHE is verified using computer simulations.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.5 pp.1021-1027
- Publication Date
- 2007/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.5.1021
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Keyword
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Kiyoshi NISHIYAMA, "Nonlinear Estimation of Harmonic Signals" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 5, pp. 1021-1027, May 2007, doi: 10.1093/ietfec/e90-a.5.1021.
Abstract: A nonlinear harmonic estimator (NHE) is proposed for extracting a harmonic signal and its fundamental frequency in the presence of white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a multiple sinusoidal model with state-representation and then efficiently specializing it for the case of harmonic estimation. The effectiveness of the NHE is verified using computer simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.5.1021/_p
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@ARTICLE{e90-a_5_1021,
author={Kiyoshi NISHIYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Nonlinear Estimation of Harmonic Signals},
year={2007},
volume={E90-A},
number={5},
pages={1021-1027},
abstract={A nonlinear harmonic estimator (NHE) is proposed for extracting a harmonic signal and its fundamental frequency in the presence of white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a multiple sinusoidal model with state-representation and then efficiently specializing it for the case of harmonic estimation. The effectiveness of the NHE is verified using computer simulations.},
keywords={},
doi={10.1093/ietfec/e90-a.5.1021},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - Nonlinear Estimation of Harmonic Signals
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1021
EP - 1027
AU - Kiyoshi NISHIYAMA
PY - 2007
DO - 10.1093/ietfec/e90-a.5.1021
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2007
AB - A nonlinear harmonic estimator (NHE) is proposed for extracting a harmonic signal and its fundamental frequency in the presence of white noise. This estimator is derived by applying an extended complex Kalman filter (ECKF) to a multiple sinusoidal model with state-representation and then efficiently specializing it for the case of harmonic estimation. The effectiveness of the NHE is verified using computer simulations.
ER -
English
