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Optimistic Wavelet Basis Selection in Seismic Signal Noise Elimination
详细信息   
摘要

Based on the analysis of characteristics of seismic signal, this paper discussed the selection criterion of wavelet basis theoretically, conducted the correlation and selection of wavelet basis from the test view and finally presented the suggestion that different wavelet basis function should be selected in decomposition and reconstruction of wavelet transform to assure the accuracy of the reconstructed signal and enhance the processing capability for seismic signal. The correlation results of field seismic data processing show that applying the bior2.4 wavelet basis in seismic data processing not only achieves the better effect of noise elimination, but also can extract the effective component of low and high frequency seismic signal from result data, broaden effective frequency and raise the resolution and S/N ratio of seismic signal.

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