Global noise elimination from ELF band electromagnetic signals by independent component analysis

Authors:
Motoaki Mouri;Arao Funase;Andrzej Cichocki;Ichi Takumi;Hiroshi Yasukawa;Masayasu Hata
Affiliations:
Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan;Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan;Laboratory for Advanced Brain Signal Processing, RIKEN BSI, Saitama, Japan;Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan;Department of Applied Information Technology, Aichi Prefectural University, Aichi, Japan;Chubu University, Kasugai-city, Aichi, Japan
Venue:
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Year:
2006

Citing 1
Cited 1

Flexible Independent Component Analysis

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Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

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Abstract

Anomalous radiations of environmental electromagnetic (EM) waves are reported as the portents of earthquakes. We have been measuring the Extremely Low Frequency (ELF) range all over Japan in order to predict earthquakes. The observed signals contain global noise which has stronger power than local signals. Therefore, global noise distorts the results of earthquake-prediction. In order to overcome this distortion, it is necessary to eliminate global noises from the observed signals. In this paper, we propose a method of global noise elimination by Independent Component Analysis (ICA) and evaluate the effectiveness of this method.