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publications:annualreports:saig_22 [2022/02/01 21:45] msacchi |
publications:annualreports:saig_22 [2022/02/01 21:59] msacchi |
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<WRAP indent>{{:sponsorsandstudents:report22.pdf | | <WRAP indent>{{:sponsorsandstudents:report22.pdf | | ||
Complete annual report as a single file (222 MB)}}</WRAP> | Complete annual report as a single file (222 MB)}}</WRAP> | ||
- | </WRAP> | + | |
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</WRAP> | </WRAP> | ||
- | <fc #008000>SAIG 22-5 (2022) Dawei Liy</fc>\\ | + | <fc #008000>SAIG 22-5 (2022) Dawei Liu</fc>\\ |
<WRAP indent>{{:sponsorsandstudents:saig22r:chap_05.pdf | Efficient seismic scattered noise | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_05.pdf | Efficient seismic scattered noise | ||
attenuation in OVT domain: application of deep learning }} | attenuation in OVT domain: application of deep learning }} | ||
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polated MSSA (I-MSSA) for arbitrary irregular com- | polated MSSA (I-MSSA) for arbitrary irregular com- | ||
pressive simultaneous-source acquisition }} | pressive simultaneous-source acquisition }} | ||
+ | </WRAP> | ||
+ | |||
<fc #008000>SAIG 22-11 (2022) Rongzhi Lin </fc>\\ | <fc #008000>SAIG 22-11 (2022) Rongzhi Lin </fc>\\ |