Adaptive EKT method

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Abstract

The EKT method is a recent extraction technique of periodic signals from noise. It is a method presenting a great practical interest because of its easy realization and its high signal-to-noise ratio (SNR)—higher than that of the averaging method. However, it is only valid for signals of known period. Since in practice, periods are not always known with good precision, the EKT method remains limited. To enlarge its application field, we propose in this paper an adaptive EKT method, which could be applied to signals whose variation interval of the fundamental frequency is known.

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Jean Sire Armand Eyebe Fouda obtained his Master degree with thesis in 2003 and his Ph.D. degree in 2007 in the University of Yaoundé I, Cameroon. His research interest is digital signal processing.

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Jean Sire Armand Eyebe Fouda obtained his Master degree with thesis in 2003 and his Ph.D. degree in 2007 in the University of Yaoundé I, Cameroon. His research interest is digital signal processing.

B.Z. Essimbi received the “Doctorat d'Etat” degree in electronics from the University of Yaoundé I, Cameroon. He is currently an Associate Professor in the Faculty of Science, University of Yaoundé I, Cameroon. His research interest includes optoelectronics and signal processing. Professor Essimbi is a Fellow of the Alexander von Humboldt-Shiftung.

Mbane Biouele was born in Abong-Mbang, Cameroon. He obtained his First Thesis in atmosphere physics in 1989 and his “Doctorat d'Etat” in 2005, both in atmosphere physics. He is currently senior lecturer at the University of Yaoundé I, Cameroon.

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