Separation of Train Noise and Seismic Electric Signals from Telluric Current Data by Ica
نویسندگان
چکیده
Recently, detection of seismic electric signals (SESs) in telluric current data (TCD) observed using the VAN method has attracted notice for short-term earthquake prediction. However, since most of the TCD collected in Japan is affected by train noise, detecting SESs in TCD itself is an extremely arduous job. The goal of this research is to derive a method for detecting SESs, which is difficult for VAN method experts because of train noise. We believe that SESs and train noise are independent signals. Therefore we attempted to apply Independent Component Analysis (ICA) to several TCD data sets which were measured at Matsushiro, Nagano. As a result, train noise and SESs were successfully separated using ICA.
منابع مشابه
An Effective Evaluation Function for Ica to Separate Train Noise from Telluric Current Data
Irregular changes of electric currents called Seismic Electric Signals (SESs) are often observed in Telluric Current Data (TCD). Recently, detection of SESs in TCD has attracted notice for shortterm earthquake prediction. Since most of the TCD collected in Japan is affected by train noise, detecting SESs in TCD itself is an extremely arduous job. The goal of our research is automatic separation...
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