The algorithm for classifying seismic events based on the entropy mapping of signals

Abstract

The original algorithm for classifying seismic signals is presented. The suggested approach is novel by the preliminary entropy type transformations which enable generalization of the information about the peculiarities of the waveforms of seismic signal components. The shapes of the characteristic functions obtained in the method are used for estimating the mutual similarity of the known and unknown selected events.