Ultra low frequency estimation: a neglected apportion

Author

Tan, Alfred C H ; Choudhury, A. ; Ong, Y.S. ; Veres, S.M.

Author_Institution

Fac. of Eng. & Appl. Sci., Southampton Univ., UK

Volume

5

fYear

2002

fDate

18-22 Nov. 2002

Firstpage

2195

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.

Keywords

frequency estimation; function approximation; noise; regression analysis; signal sampling; support vector machines; 0 to 10 Hz; ULF region; a priori error estimates; estimation errors; function approximation; noise conditions; ultra low frequency estimation; Discrete Fourier transforms; Estimation error; Frequency domain analysis; Frequency estimation; Frequency measurement; Function approximation; Instruments; Low-frequency noise; Multiple signal classification; Vibration measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on

Print_ISBN

981-04-7524-1

Type

conf

DOI

10.1109/ICONIP.2002.1201882

Filename

1201882