Combining SVD With wavelet transform in synthetic seismic signal denoising

In order to gain effective signal from synthetic seismogram disturbed by random noise and strong surface wave, this paper, to start with, recovers surface wave events by the method of singular value decomposition (SVD). After eliminating surface wave from the synthetic seismogram, the methods of wavelet transform and the local SVD are used for suppressing partial random noise. A new method, introduced to determine the optimal slope of the surface wave, helps to extract surface wave better. Simulations have confirmed that it is effective to process the synthetic seismogram.