Processing the Double Channel MGG Signal Based on Independent Component Analysis

Article Preview

Abstract:

Giant Magnetoimpedance (GMI) sensor is the hot research topics in sensor engineering. In this paper we setup a double channel acquisition system for MGG signal. Then FastICA algorithm is applied in the raw data and We get the spectrum after ICA processing. The results show that ICA is powerful tool for MGG signal processing to separate the noise signal.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

129-131

Citation:

Online since:

July 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Pokorn!y, L. Kraus, Sensors Actuators A 59 (1997) 65.

Google Scholar

[2] P. Ripka (Ed. ), Magnetic Sensors and Magnetometers, Artech House Publ., Boston, London, (2001).

Google Scholar

[3] M. Vazquez, J.M. Garciıa-Beneytez, J.P. Sinnecker, J. Appl. Phys. 83 (11) (Part 2) (1998) 6578.

Google Scholar

[4] H.B. Nie, A.B. Pakhomov, X. Yan, X.X. Zhang, M. Knobel, Solid State Commun. 112 (1999) 285.

Google Scholar

[5] Comon, P., Independent component analysis, a new concept. Signal Processing, 1994. 36(3): pp.287-314.

DOI: 10.1016/0165-1684(94)90029-9

Google Scholar

[6] Makeig, S., A.J. Bell, T.P. Jung, and T.J. Sejnowski, Independent component analysis of electroencephalographic data, in Advances in Neural Information Processing Systems 8: Proceedings of the 1995 Conference, D.S. Touretzky, M.C. Mozer, and M.E. Hasselmo, Editors. 1996, M I T Press: Cambridge. pp.145-151.

Google Scholar

[7] Maino, D., A. Farusi, C. Baccigalupi, F. Perrotta, A.J. Banday, L. Bedini, C. Burigana, G. De Zotti, K.M. Gorski, and E. Salerno, All-sky astrophysical component separation with fast independent component analysis (FASTICA). Monthly Notices of the Royal Astronomical Society, 2002. 334(1): pp.53-68.

DOI: 10.1046/j.1365-8711.2002.05425.x

Google Scholar