• 责任者：Li Zhongxiao (Key Laboratory of Intelligent Technology and Systems ; Tsinghua National Laboratory of Information Science and Technology ; Department of Automation ; Tsinghua University ; Beijing 100084 ; China) ; Lu Wenkai
• 刊名：Chinese Journal of Geophysics
• 出版年：2012
• 卷期：55(4)
• 关键词：多次反射 ; multiple reflection ; 地震滤波 ; seismic filtering
• 页码：p.1325-1334
• 图表：4 illus., 30 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

This paper represents the adaptive multiple subtraction problem as a blind signal separation problem using multi-traces convolutional signal blind separation model. By expressing the difference between the predicted and true multiples using a 2D convolutional kernel, the authors propose an adaptive multiple subtraction method based on the multi-traces convolutional signal blind separation technique, which adopts maximization of the non-Gaussianity of the recovered primaries as the objective function. To solve the above non-linear optimization problem, we transfer it to an iterative linear one, which is realized by the iterative least squares algorithm. Taking advantage of the multi-traces convolutional signal blind separation model, the proposed method is applicable to the situation that there are differences in the time-space domain between the predicted and true multiples.