Abstract
An effective method is developed to identify and eliminate signals originated from external magnetic variations in the frequency range of 0.001 to 1 Hz in the geoelectric potential data. It is based on the interstation transfer function (ISTF) approach with the use of wavelet transform. Good performance has been found for the data at Kiyosumi station using Kakioka station as a reference, which means that almost whole of the inductive field could be eliminated successfully and other signals could be recognized with keeping their waveform. The detectability of simulated seismic electric signals (SES) has also been examined, and the result shows the successful discrimination of SES. These experimental facts indicate the effectiveness of our proposed signal reduction method.
