On the Window Selection for Three FFT-Based High-Accuracy Frequency Estimation Methods
Summary :
Recent studies show that several FFT-based high-accuracy frequency estimation methods achieve very good performance. In this letter, we select three methods, which are the zero-padding, weighted multipoint interpolated DFT, and phase difference approximation respectively, and discuss the window selection for each method. Experiments show that the window selection primarily depends on the signal-to-noise ratio (SNR). As a result, the optimal window selection for each method and, reversely, the optimal selection of the estimation method for a specific window are discussed as a function of SNR. Consideration on the computational load and the resolution problem is also briefly discussed.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.5 pp.1365-1368
- Publication Date
- 2005/05/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.5.1365
- Type of Manuscript
- LETTER
- Category
- Engineering Acoustics
Authors
Keyword
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Hee-Suk PANG, Byeong-Moon JEON, "On the Window Selection for Three FFT-Based High-Accuracy Frequency Estimation Methods" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 5, pp. 1365-1368, May 2005, doi: 10.1093/ietfec/e88-a.5.1365.
Abstract: Recent studies show that several FFT-based high-accuracy frequency estimation methods achieve very good performance. In this letter, we select three methods, which are the zero-padding, weighted multipoint interpolated DFT, and phase difference approximation respectively, and discuss the window selection for each method. Experiments show that the window selection primarily depends on the signal-to-noise ratio (SNR). As a result, the optimal window selection for each method and, reversely, the optimal selection of the estimation method for a specific window are discussed as a function of SNR. Consideration on the computational load and the resolution problem is also briefly discussed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.5.1365/_p
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@ARTICLE{e88-a_5_1365,
author={Hee-Suk PANG, Byeong-Moon JEON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={On the Window Selection for Three FFT-Based High-Accuracy Frequency Estimation Methods},
year={2005},
volume={E88-A},
number={5},
pages={1365-1368},
abstract={Recent studies show that several FFT-based high-accuracy frequency estimation methods achieve very good performance. In this letter, we select three methods, which are the zero-padding, weighted multipoint interpolated DFT, and phase difference approximation respectively, and discuss the window selection for each method. Experiments show that the window selection primarily depends on the signal-to-noise ratio (SNR). As a result, the optimal window selection for each method and, reversely, the optimal selection of the estimation method for a specific window are discussed as a function of SNR. Consideration on the computational load and the resolution problem is also briefly discussed.},
keywords={},
doi={10.1093/ietfec/e88-a.5.1365},
ISSN={},
month={May},}
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TY - JOUR
TI - On the Window Selection for Three FFT-Based High-Accuracy Frequency Estimation Methods
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1365
EP - 1368
AU - Hee-Suk PANG
AU - Byeong-Moon JEON
PY - 2005
DO - 10.1093/ietfec/e88-a.5.1365
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2005
AB - Recent studies show that several FFT-based high-accuracy frequency estimation methods achieve very good performance. In this letter, we select three methods, which are the zero-padding, weighted multipoint interpolated DFT, and phase difference approximation respectively, and discuss the window selection for each method. Experiments show that the window selection primarily depends on the signal-to-noise ratio (SNR). As a result, the optimal window selection for each method and, reversely, the optimal selection of the estimation method for a specific window are discussed as a function of SNR. Consideration on the computational load and the resolution problem is also briefly discussed.
ER -
English
