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Ultra low frequency estimation: a neglected apportion

Ultra low frequency estimation: a neglected apportion
Ultra low frequency estimation: a neglected apportion
Most frequency estimation techniques exhibit larger estimation errors in the ultra low frequency (ULF) region (0-10 Hz asymptotically) as compared to higher frequency ranges. This paper examines this situation and proposes to model the estimation errors through function approximation thereby making a priori error estimates available for new signals frequencies. The technique is shown to perform well on simulation data under varying noise conditions. Results show that it is possible to estimate frequencies in the ULF region with accuracies similar to those encountered in higher frequency ranges
0 to 10 Hz, ULF region, a priori error estimates, estimation errors, function approximation, noise conditions, ultra low frequency estimation
9810475241
2195-2199
Institute of Electrical and Electrronic Engineers
Tan, Alfred C.H.
9700d131-344f-4ea1-a514-7814016c178e
Choudhury, A.
c45433d6-df9a-4d89-b28f-59b2cdf69984
Ong, Y.S.
62497a6f-823e-4663-b263-4a805a00f181
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Lipo, Wang
Jagath C., Rajapakse
Kunihiko, Fukushima
Soo-Young, Lee
Xin, Yao
Tan, Alfred C.H.
9700d131-344f-4ea1-a514-7814016c178e
Choudhury, A.
c45433d6-df9a-4d89-b28f-59b2cdf69984
Ong, Y.S.
62497a6f-823e-4663-b263-4a805a00f181
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Lipo, Wang
Jagath C., Rajapakse
Kunihiko, Fukushima
Soo-Young, Lee
Xin, Yao

Tan, Alfred C.H., Choudhury, A., Ong, Y.S. and Veres, S.M. (2002) Ultra low frequency estimation: a neglected apportion. Lipo, Wang, Jagath C., Rajapakse, Kunihiko, Fukushima, Soo-Young, Lee and Xin, Yao (eds.) In Proceedings of the 9th International Conference on Neural Information Processing (ICONIP '02). Institute of Electrical and Electrronic Engineers. pp. 2195-2199 . (doi:10.1109/ICONIP.2002.1201882).

Record type: Conference or Workshop Item (Paper)

Abstract

Most frequency estimation techniques exhibit larger estimation errors in the ultra low frequency (ULF) region (0-10 Hz asymptotically) as compared to higher frequency ranges. This paper examines this situation and proposes to model the estimation errors through function approximation thereby making a priori error estimates available for new signals frequencies. The technique is shown to perform well on simulation data under varying noise conditions. Results show that it is possible to estimate frequencies in the ULF region with accuracies similar to those encountered in higher frequency ranges

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Published date: 2002
Venue - Dates: 9th International Conference on Neural Information Processing (ICONIP '02), 2002-11-18 - 2002-11-22
Keywords: 0 to 10 Hz, ULF region, a priori error estimates, estimation errors, function approximation, noise conditions, ultra low frequency estimation

Identifiers

Local EPrints ID: 22659
URI: http://eprints.soton.ac.uk/id/eprint/22659
ISBN: 9810475241
PURE UUID: 5d531fc7-bca2-4f59-b8ee-5493bb6a4660

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Date deposited: 02 Jun 2006
Last modified: 02 Dec 2019 19:36

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Contributors

Author: Alfred C.H. Tan
Author: A. Choudhury
Author: Y.S. Ong
Author: S.M. Veres
Editor: Wang Lipo
Editor: Rajapakse Jagath C.
Editor: Fukushima Kunihiko
Editor: Lee Soo-Young
Editor: Yao Xin

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