Based on the basic theory of Bayesian and using the high precision wavelet estimated in high-order double spectrum domain as constraints

this paper realized sparse blind deconvolution frequency-expanding processing under the modified Cauchy criteria and obtained data that are more reliable and have higher frequency than the conventional deconvolution frequency-enhancing method.The results of numerical experiments and real data processing show that the wavelet estimated in the dual spectrum domain has higher accuracy

under the priori constraint of which the sparse blind deconvolution can greatly enhance the resolution of both P-wave and PS-wave.It can meet the requirement of resolute very thin layers

thus can be used as an effective method for high resolution processing.