Discriminating seismic events based on energy-distributing feature

It is studied in this paper about the feature of seismic signal by wavelet packet. According to the difference of the time-frequency about seismic signals, a energy-distributing feature is proposed to i-dentify seismic events by neural network. This method directly extracts the feature of seismic signal by energy varying of every frequency component, which forms the input vectors of neural network to conveniently identify the seismic events. It doesn't depend on the mathematic model, and avoids the difficulty of exactly designing model about the spreading route of seismic signal. The ratio of discrimination to seismic signals is more than 99% by our experiment. It is proved to be the effective method.