Global signal elimination from ELF band electromagnetic signals by Independent Component Analysis

Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

Anomalous radiations of environmental electromagnetic (EM) waves have been reported as the portents of earthquakes. Our study's goal is predicting earthquakes using EM signals. We have been measuring the Extremely Low Frequency (ELF) range all over Japan. However, the recorded data contain signals or noises unrelated to earthquakes. These signals and noises work to fail in earthquakeprediction. It is necessary to eliminate noises from observed signals in a preprocessing step. In this paper, we propose a method of global signal elimination by Independent Component Analysis (ICA) and evaluate the effectiveness of this method.

Original languageEnglish
JournalEuropean Signal Processing Conference
Publication statusPublished - 2006
Externally publishedYes
Event14th European Signal Processing Conference, EUSIPCO 2006 - Florence, Italy
Duration: 4 Sep 20068 Sep 2006

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