Abstract:The reconstruction effect and computational efficiency of different sparse transform methods in compressive sensing are different.Therefore,a seismic data reconstruction method using discrete orthonormal S-transform (DOST) based on compressive sensing technology was proposed in this paper.By taking the inner product of a set of orthogonal basis functions and time series,the time-frequency matrix was obtained,in order to make original signals more sparse and thus improve the compressed sensing reconstruction effect of seismic data.This method makes up for the limitation that S transform cannot be used as the sparse transform in compressive sensing,and a new sparse transform method was introduced to the theoretical system of compressive sensing.Theoretical model test and real data application achieved overall satisfactory reconstruction effect,and demonstrated the fast iteration speed and stable convergency of the method proposed in this paper.
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