Applying Non-negative Matrix Factorization for global signal elimination from electromagnetic signals

Abstract

Anomalous environmental electromagnetic (EM) radiation waves have been reported as the portents of earthquakes. Our goal is to predict earthquakes using EM radiation waves. We have been measuring the Extremely Low Frequency (ELF) range all over Japan. However, the recorded data contain signals unrelated to earthquakes. These signals, as noise, confound earthquake prediction efforts. It is necessary to eliminate noises from observed signals in a preprocessing step. In this paper, we propose a method for global signal elimination using Non-negative Matrix Factorization (NMF) and evaluate the effectiveness of this method.