A Study on Precursor Signal Extraction with PCA for Predicting Significant Earthquakes(<Special Section>Digital Signal Processing)
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概要
- 論文の詳細を見る
The tectonic activities that precede significant earthquakes release electromagnetic (EM) waves that can be used as earthquake precursors. We have been observing EM radiation in the ELF (extremely low frequency) band at about 40 observation stations in Japan for predicting significant earthquakes. The recorded signals contain, however, several noise components generated from the ionosphere, human activity, and so on. Most background noise in observed signal is attributed to lightning in the tropics. This paper proposes method based on PCA (principal component analysis) to extract signals from large data sets. The good performance of the proposed method is confirmed.
- 社団法人電子情報通信学会の論文
- 2003-08-01
著者
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YASUKAWA Hiroshi
Faculty of Information Science and Technology, Aichi Prefectural University
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HATA Masayasu
College of Engineering, Chubu University
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Takumi I
Nagoya Inst. Technol. Nagoya‐shi Jpn
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Takumi Ichi
Graduate School Of Engineering Nagoya Inst. Of Technol.
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Takumi Ichi
Graduate School Of Engineering Nagoya Institute Of Technology
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Takumi Ichi
The Department Of A. I. And Computer Science Nagoya Institute Of Technology
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Hata M
College Of Engineering Chubu University
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NIWA Shinji
Faculty of Information Science and Technology, Aichi Prefectural University
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TAKUMI Ichi
Faculty of Engineering, Nagoya Institute of Technology
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HATA Masayasu
Faculty of Engineering, Chubu University
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Yasukawa Hiroshi
Faculty Of Information Science And Technology Aichi Prefectural University
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Niwa Shinji
Faculty Of Information Science And Technology Aichi Prefectural University
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