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

Motoaki MOURI  Arao FUNASE  Andrzej CICHOCKI  Ichi TAKUMI  Hiroshi YASUKAWA  Masayasu HATA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E91-A    No.8    pp.1875-1882
Publication Date: 2008/08/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e91-a.8.1875
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Signal Processing)
Category: 
Keyword: 
ICA,  electromagnetic wave,  denoising,  signals enhancement,  earthquake prediction,  

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Summary: 
Anomalous environmental electromagnetic (EM) radiation waves have been reported as the portents of earthquakes. Our study's goal is predicting earthquakes using EM radiation waves by detecting some anomalies. We have been measuring the Extremely Low Frequency (ELF) range EM radiation waves all over Japan. However, the recorded data contain signals unrelated to earthquakes. These signals, as noise, confound earthquake prediction efforts. In this paper, we propose an efficient method of global signal elimination and enhancement local signals using Independent Component Analysis (ICA). We evaluated the effectiveness of this method.