Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.8 pp.1875-1882
- Publication Date
- 2008/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.8.1875
- Type of Manuscript
- Special Section PAPER (Special Section on Signal Processing)
- Category
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Motoaki MOURI, Arao FUNASE, Andrzej CICHOCKI, Ichi TAKUMI, Hiroshi YASUKAWA, Masayasu HATA, "Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 8, pp. 1875-1882, August 2008, doi: 10.1093/ietfec/e91-a.8.1875.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.8.1875/_p
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@ARTICLE{e91-a_8_1875,
author={Motoaki MOURI, Arao FUNASE, Andrzej CICHOCKI, Ichi TAKUMI, Hiroshi YASUKAWA, Masayasu HATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis},
year={2008},
volume={E91-A},
number={8},
pages={1875-1882},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e91-a.8.1875},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1875
EP - 1882
AU - Motoaki MOURI
AU - Arao FUNASE
AU - Andrzej CICHOCKI
AU - Ichi TAKUMI
AU - Hiroshi YASUKAWA
AU - Masayasu HATA
PY - 2008
DO - 10.1093/ietfec/e91-a.8.1875
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2008
AB - 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.
ER -
English
