Frequency-energy variability characterization of local real-time noisy seismic records

In this study, we have presented a new approach to separate noisy components and to characterize frequency-energy variability for local real-time noisy earthquakes where epicentral distance is 010°. This approach is based on wavelet transform and deals with energy variations in different frequency bands. All records have been decomposed to approximation and detail components with using overlapping window design and wavelet transform. Energy components of each window were determined and highest energy component has been selected in all windows. When selected energy values have been associated in a vector, two different types of frequency-energy characteristics which include critical points to detect P (longitudinal) and S (transverse) waves have been obtained.