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在勘探地震学的数据处理过程中,盲源反褶积是一项重要的技术。本文给出了盲源反褶积方法的一种具体实现,并结合Krylov子空间上优化的预条件共轭梯度法以改善算法的稳定性,同时减少计算量。
Blind source deconvolution is an important technique in the data processing of exploration seismology. In this paper, we give a concrete realization of blind source deconvolution method, combined with the optimized preconditioned conjugate gradient method in Krylov subspace to improve the stability of the algorithm and reduce the computational complexity.