publications:annualreports:saig_22
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publications:annualreports:saig_22 [2022/02/01 21:33] 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> | ||
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| Line 14: | Line 15: | ||
| <WRAP indent>{{:sponsorsandstudents:report22_comp.pdf | | <WRAP indent>{{:sponsorsandstudents:report22_comp.pdf | | ||
| Complete annual report as a single file (Compressed PDF 79 MB)}}</WRAP> | Complete annual report as a single file (Compressed PDF 79 MB)}}</WRAP> | ||
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| ====== Individual Chapters ====== | ====== Individual Chapters ====== | ||
| - | <fc #008000>SAIG 22-1 (2022) XX </fc>\\ | + | <fc #008000>SAIG 22-1 (2022) Breno Bahia</fc>\\ |
| - | <WRAP indent>{{:sponsorsandstudents:saig21r:chap_01.pdf | XX }} | + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_01.pdf |Neural estimation of local slopes }} |
| + | </WRAP> | ||
| + | |||
| + | |||
| + | <fc #008000>SAIG 22-2 (2022) Kristian Torres </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_02.pdf | Least-squares reverse-time migration via deep learning- | ||
| + | based updating operators }} | ||
| + | </WRAP> | ||
| + | |||
| + | |||
| + | <fc #008000>SAIG 22-3 (2022) Kristian Torres </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_03.pdf | Deep null space regularization for seismic inverse prob- | ||
| + | lems}} | ||
| + | </WRAP> | ||
| + | |||
| + | |||
| + | <fc #008000>SAIG 22-4 (2022) Hongling Chen </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_04.pdf | Nonstationary Seismic Reflectivity Inversion Based on Prior-engaged Mixed Dimensional Deep Learning Method }} | ||
| + | </WRAP> | ||
| + | |||
| + | <fc #008000>SAIG 22-5 (2022) Dawei Liu</fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_05.pdf | Efficient seismic scattered noise | ||
| + | attenuation in OVT domain: application of deep learning }} | ||
| + | </WRAP> | ||
| + | |||
| + | <fc #008000>SAIG 22-6 (2022) Rafael Manenti </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_06.pdf | Prestack data reconstruction via CUR decomposition }} | ||
| + | </WRAP> | ||
| + | |||
| + | <fc #008000>SAIG 22-7 (2022) Yi Guo </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_07.pdf | Data-driven optimal sparse seismic acquisition design}} | ||
| + | </WRAP> | ||
| + | |||
| + | |||
| + | <fc #008000>SAIG 22-8 (2022) Ji Li </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_08.pdf | Robust reconstruction via Orthogonal Matching Pursuit | ||
| + | with Fourier transform }} | ||
| + | </WRAP> | ||
| + | |||
| + | <fc #008000>SAIG 22-9 (2022) Alejandro Quiaro </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_09.pdf |SNR based automatic rank determination and its appli- | ||
| + | cation for de-noising using MSSA }} | ||
| + | </WRAP> | ||
| + | |||
| + | |||
| + | |||
| + | <fc #008000>SAIG 22-10 (2022) Rongzhi Lin </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_10.pdf | Iterative 3D deblending and reconstruction with inter- | ||
| + | polated MSSA (I-MSSA) for arbitrary irregular com- | ||
| + | pressive simultaneous-source acquisition }} | ||
| + | </WRAP> | ||
| + | <fc #008000>SAIG 22-11 (2022) Rongzhi Lin </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_11.pdf | A comparative study of seismic reconstruction for arbi- | ||
| + | trary irregular-grid acquisition: I-FMSSA vs. EPOCS }} | ||
| + | </WRAP> | ||
| + | <fc #008000>SAIG 22-12 (2022) Joaquin Acedo </fc>\\ | ||
| + | <WRAP indent>{{:sponsorsandstudents:saig22r:chap_12.pdf | Compressed Sensing and Sparsity Promoting Inversion }} | ||
| + | </WRAP> | ||
| - | |||
| </WRAP> | </WRAP> | ||
publications/annualreports/saig_22.txt · Last modified: 2022/02/02 02:39 by msacchi
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