A wavelet method for detecting S-waves in seismic data
Seismic signals consist of several typically short energy bursts, called phases, exhibiting several patterns in terms of dominant frequency, amplitude and polarisation. We present a fast algorithm to detect the so-called S-phase in a three-component seismic signal. This new approach combines traditional S-phase detection methods and the discrete wavelet transform.
wavelets seismology feature detection phase pickers cross-power matrix energy distribution