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publications:annualreports:saig_21 [2020/12/17 06:40]
msacchi
publications:annualreports:saig_21 [2021/01/25 00:06]
msacchi
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 <WRAP 75% column> <WRAP 75% column>
  
-<fc #008000>SAIG21 ​(2020) Annual Report</​fc>​\\+<fc #008000>SAIG 21 (2020) Annual Report</​fc>​\\
 <WRAP indent>​{{:​sponsorsandstudents:​report21.pdf |  <WRAP indent>​{{:​sponsorsandstudents:​report21.pdf | 
 Complete annual report as a single file (52.9 MB)}}</​WRAP>​ Complete annual report as a single file (52.9 MB)}}</​WRAP>​
  
  
-====== TALKS SAIG-20 (2020) ​======+<fc #008000>SAIG 21-(2020) ​Rongzhi Lin, Breno Bahia and M D Sacchi </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_01.pdf | Simultaneous source separation via iterative robust de-noising with low-rank Hankel constraint }}\\ 
 +Matlab Package: {{:​sponsorsandstudents:​deblending_Robust_SSA.zip | deblending_Robust_SSA.zip}} 
 + 
 + 
 +</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 21-2 (2020) Yi Guo </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_02.pdf | Data-driven optimal sparse seismic acquisition design and reconstruction }}</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 21-3 (2020) Yi Guo </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_03.pdf |Time-lapse acquisition design via optimal receiver-source placement and reconstruction }}</​WRAP>​ 
 + 
 + 
 + 
 +<fc #​008000>​SAIG 21-4 (2020) Fernanda Carozzi </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_04.pdf |Robust reconstruction via a generalized loss function }}\\ 
 +Julia package {{sponsorsandstudents:​Robust_Reconstruction_GLF.zip| Robust_Reconstrtuction_GLF.zip}} 
 +</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 21-5 (2020) Ji Li and M D sacchi </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_05.pdf |Deblending via Fast Robust Greedy Pursuit }}\\ 
 +Matlab package {{sponsorsandstudents:​Robust_MP.zip| Robust_MP.zip}} 
 +</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 21-6 (2020) Breno Bahia, Rongzhi Lin and M D Sacchi</​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_06.pdf |Regularization by Denoising for simultaneous source separation }} 
 +\\ 
 +Julia package {{sponsorsandstudents:​RED_Deblending.zip| RED_Deblending.zip}} 
 +</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 21-7 (2020) Breno Bahia and M D Sacchi</​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_07.pdf |Cayley-Dickson representation of surface waves 
 + ​}}</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 21-8 (2020) Breno Bahia and M D Sacchi</​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_08.pdf |From low-rank matrices to sparse vectors in the presence of atypical observations 
 + ​}}</​WRAP>​ 
 + 
 + 
 +<fc #​008000>​SAIG 21-9 (2020) Kristian D. T. Bautista and Mauricio Sacchi</​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_09.pdf |Deep-LSRTM:​ Solving least-squares reverse time migration with learned updating operators 
 +}}\\ 
 +Python/​TensorFlow package: Contact Kristian for Dockerfile 
 +</​WRAP>​ 
 + 
 + 
 + 
 +<fc #​008000>​SAIG 21-10 (2020) Amsalu Anagaw and Mauricio Sacchi</​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_10.pdf |Regularization by Denoising (RED) with adaptive-weighted Total Variation for 3D FWI model updates in large-contrast media 
 +}}</​WRAP>​ 
 + 
 + 
 +<fc #​008000>​SAIG 21-11 (2020) Jhonatan Amado</​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig21r:​chap_11.pdf |Three-dimensional time-domain finite-difference modelling for viscoelastic seismic wave propagation. 
 +}}</​WRAP>​ 
  
 </​WRAP>​ </​WRAP>​
publications/annualreports/saig_21.txt · Last modified: 2022/01/24 05:41 by msacchi