基于遗传算法的多道地震信号匹配追踪快速分解

Based on matching pursuit algorithm, Multichannel matching pursuit for seismic trace decomposition based on Genetic Algorithm is put forward in this paper. Namely, through changing the criterion function of searching the best matching atom, matching pursuit for all seismic signals at the same time and get best time-frequency atoms that be shared by all the seismic signals, then reconstruct seismic signals using these time-frequency atoms. Aiming at the problem of high complexity, combining with Genetic Algorithm has reduced the complexity of matching pursuit and realize rapid decomposition of seismic signal in the paper. The experiments for synthetic signal and the practical seismic data of show that this algorithm solves the problem of nonstability of atoms in single matching pursuit decomposition algorithm and improves spatial continuity of profile.