Title :
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
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;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1201882
