A Guide for Successful Low-Rank Matrix Recovery in Seismic Applications
| Title | A Guide for Successful Low-Rank Matrix Recovery in Seismic Applications |
| Publication Type | Presentation |
| Year of Publication | 2017 |
| Authors | Oscar Lopez, Rajiv Kumar |
| Keywords | Presentation, SINBAD, SINBADFALL2017, SLIM |
| Abstract | This talk presents recent results in the theory of low-rank matrix recovery as heuristics for seismic practitioners. In the theory of matrix completion, we discuss the spectral gap as a means to quantify how successful a given sub sampling scheme will be for trace interpolation. Additionally, we consider previously proposed random sampling techniques and develop conditions on the sampling distribution that guarantees successful low-rank matrix recovery. The results apply to time-jittered acquisition, off-the-grid trace interpolation and source separation for simultaneous towed-streamer marine acquisition. Put together, the talk provides practical instruments that help design acquisition schemes in favor of rank penalization techniques. |
| URL | https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2017/Fall/lopez2017SINBADFagf/lopez2017SINBADFagf.pdf |
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| Citation Key | lopez2017SINBADFagf |