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.
|Journal||European Signal Processing Conference|
|Publication status||Published - 2006|
|Event||14th European Signal Processing Conference, EUSIPCO 2006 - Florence, Italy|
Duration: 4 Sep 2006 → 8 Sep 2006