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Blind Deconvolution Method Based on Precondition Conjugate Gradients 被引量:1

基于预条件共轭梯度法的盲源反褶积方法(英文)
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摘要 In seismic data processing, blind deconvolution is a key technology. Introduced in this paper is a flow of one kind of blind deconvolution. The optimal precondition conjugate gradients (PCG) in Kyrlov subspace is also used to improve the stability of the algorithm. The computation amount is greatly decreased. In seismic data processing, blind deconvolution is a key technology. Introduced in this paper is a flow of one kind of blind deconvolution. The optimal precondition conjugate gradients (PCG) in Kyrlov subspace is also used to improve the stability of the algorithm. The computation amount is greatly decreased.
出处 《Petroleum Science》 SCIE CAS CSCD 2004年第3期37-40,共4页 石油科学(英文版)
基金 With the support of the key project of Knowledge Innovation, CAS(KZCX1-y01, KZCX-SW-18), Fund of the China National Natural Sciences and the Daqing Oilfield with Grant No. 49894190
关键词 Blind deconvolution precondition conjugate gradients (PCG) reflectivity series Blind deconvolution, precondition conjugate gradients (PCG), reflectivity series
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