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A Study on Precursor Signal Extraction with PCA for Predicting Significant Earthquakes
https://nitech.repo.nii.ac.jp/records/5156
https://nitech.repo.nii.ac.jp/records/5156ef0016c8-2493-4c9c-beb2-21062f65b245
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文_fulltext (311.3 kB)
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Copyright(c)2003 IEICE http://search.ieice.org/index.html
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2013-06-25 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | A Study on Precursor Signal Extraction with PCA for Predicting Significant Earthquakes | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
| 資源タイプ | journal article | |||||||||||||
| 著者 |
Niwa, Shinji
× Niwa, Shinji
× Yasukawa, Hiroshi
× Takumi, Ichi
× Hata, Masayasu
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| 著者別名 | ||||||||||||||
| 姓名 | 内匠, 逸 | |||||||||||||
| bibliographic_information |
en : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 巻 E86-A, 号 8, p. 2047-2052, 発行日 2003-08-01 |
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| 出版者 | ||||||||||||||
| 出版者 | Institute of Electronics, Information and Communication Engineers | |||||||||||||
| 言語 | en | |||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||
| 収録物識別子 | 0916-8508 | |||||||||||||
| item_10001_source_id_32 | ||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||
| 収録物識別子 | AA10826239 | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | VoR | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||
| 内容記述 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 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. | |||||||||||||
| 言語 | en | |||||||||||||
