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publications:annualreports:saig_22 [2022/02/01 21:33]
msacchi
publications:annualreports:saig_22 [2022/02/02 02:39] (current)
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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 <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 (2022XX </​fc>​\\ +<fc #​008000>​SAIG 22-1 (2021Breno Bahia</​fc>​\\ 
-<WRAP indent>​{{:​sponsorsandstudents:​saig22r:​chap_01.pdf | XX }}+<WRAP indent>​{{:​sponsorsandstudents:​saig22r:​chap_01.pdf |Neural estimation of local slopes ​}} 
 +</​WRAP>​ 
 + 
 + 
 +<fc #​008000>​SAIG 22-2 (2021) 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 (2021) 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 (2021) 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 (2021) 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 (2021) Rafael Manenti </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig22r:​chap_06.pdf | Prestack data reconstruction via CUR decomposition }} 
 +</​WRAP>​ 
 + 
 +<fc #​008000>​SAIG 22-7 (2021) Yi Guo </​fc>​\\ 
 +<WRAP indent>​{{:​sponsorsandstudents:​saig22r:​chap_07.pdf | Data-driven optimal sparse seismic acquisition design}} 
 +</​WRAP>​ 
 + 
 + 
 +<fc #​008000>​SAIG 22-8 (2021) 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 (2021) 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 (2021) 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 (2021) 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 (2021) Joaquin Acedo </​fc>​\\
 +<WRAP indent>​{{:​sponsorsandstudents:​saig22r:​chap_12.pdf | Compressed Sensing and Sparsity Promoting Inversion }}
 +</​WRAP>​
  
-  
  
 </​WRAP>​ </​WRAP>​
publications/annualreports/saig_22.1643751210.txt.gz · Last modified: 2022/02/01 21:33 by msacchi