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publications:annualreports:saig_22 [2022/01/24 04:31] msacchi created |
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- | Here goes | + | ====== SAIG-22 (2021) ====== |
+ | |||
+ | ---- | ||
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+ | <WRAP group> | ||
+ | <WRAP 75% column> | ||
+ | |||
+ | <fc #008000>SAIG 22 (2021) Annual Report</fc>\\ | ||
+ | <WRAP indent>{{:sponsorsandstudents:report22.pdf | | ||
+ | Complete annual report as a single file (222 MB)}}</WRAP> | ||
+ | |||
+ | |||
+ | |||
+ | <fc #008000>SAIG 22 (2021) Annual Report</fc>\\ | ||
+ | <WRAP indent>{{:sponsorsandstudents:report22_comp.pdf | | ||
+ | Complete annual report as a single file (Compressed PDF 79 MB)}}</WRAP> | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ====== Individual Chapters ====== | ||
+ | |||
+ | <fc #008000>SAIG 22-1 (2022) Breno Bahia</fc>\\ | ||
+ | <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 Liy</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 }} | ||
+ | |||
+ | <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> | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ---- | ||
+ | |||
+ | |||
+ | |||
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+ | <WRAP centeralign> [[http://www.ualberta.ca|{{ :main:ua-colour-440px.png?nolink&200 |}}]]</WRAP> | ||
+ | <WRAP centeralign>©2015 Signal Analysis and Imaging Group</WRAP> |