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《Chinese Journal of Geophysics》 1999-04
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ZHANG KE; LI YAN-DA (Information Group, Department of Automation, Tsinghua University Beijing 100084, China) LIU GUI-ZHONG; JIA YU-LAN (Institute of Information Engineering. School of Electron and Information Engineering, Xi'an Jiaotong University. Xi'an 710049, China)  
A new algorithm of seismic signal deconvolution is proposed in this paper based on dyadic wavelet transform, which is called multiresolution seismic signal deconvolution. The seismic signal is decomposed with dyadic wavelet transform, then in the domain of dyadic wavelet transform of seismic the predictive deconvolution is executed with different length of predictive step according to the different scale factor of dyadic wavelet transform. According to the correlativity between the different deconvolution results and the difference between the signal-noise ratio with different scale factors in dyadic wavelet transform domain we use the lower resolution deconvolution result to modify the higher resolution deconvolution result successively. This algorithm leads to the reflectivity coefficient with high precision, especially it is effective to the seismic signal with lower signal-noise ratio.
【Fund】: 中国博士后基金!1998-09
【CateGory Index】: P315.63
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