Abstract:

       We selected an appropriate wavelet basis for the processing of microseismic signal by investigating the characteristics of some wavelet bases. We also addressed the process of employing the wavelet toolbox in MATLAB to perform the processing of the measured micro seismic signal. Sym8 wavelet basis, the heuristic threshold selection rule, soft threshold function and five layer decomposition were employed to automatically suppress signal noise, which was shown to have better noise suppression effect. We drew a frequencytime wavelet coefficients chart and time frequency spectrum (TFS) by scale frequency conversion, which provided an effective approach for analyzing the characteristic of  signal time and frequency synchronization.