Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization

Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization

We have developed a new sparse-spike deconvolution (SSD) method based on Toeplitz-sparse matrix factorization (TSMF), a bilinear decomposition of a matrix into the product of a Toeplitz matrix and a sparse matrix, to address the problems of lateral continuity, effects of noise, and wavelet estimatio...

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Bibliographic Details
Main Authors: Wang, Lingling (Author), Zhao, Qian (Author), Gao, Jinghuai (Author), Xu, Zongben (Author), Jiang, Xiudi (Author), Fehler, Michael C (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences (Contributor), Massachusetts Institute of Technology. Earth Resources Laboratory (Contributor)
Format: Article
Language:English
Published: Society of Exploration Geophysicists, 2017-04-21T23:09:28Z.
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