publications:annualreports:saig_21
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
publications:annualreports:saig_21 [2021/01/24 22:49] msacchi |
publications:annualreports:saig_21 [2022/01/24 04:41] (current) msacchi |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ====== SAIG-20 (2020) ====== | + | ====== SAIG-21 (2020) ====== |
| ---- | ---- | ||
| Line 27: | Line 27: | ||
| <fc #008000>SAIG 21-4 (2020) Fernanda Carozzi </fc>\\ | <fc #008000>SAIG 21-4 (2020) Fernanda Carozzi </fc>\\ | ||
| - | <WRAP indent>{{:sponsorsandstudents:saig21r:chap_04.pdf |Robust reconstruction via a generalized loss function }}</WRAP> | + | <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>\\ | <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 }}</WRAP> | + | <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>\\ | <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 }}</WRAP> | + | <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>\\ | <fc #008000>SAIG 21-7 (2020) Breno Bahia and M D Sacchi</fc>\\ | ||
| Line 40: | Line 47: | ||
| <fc #008000>SAIG 21-8 (2020) Breno Bahia and M D Sacchi</fc>\\ | <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 indent>{{:sponsorsandstudents:saig21r:chap_08.pdf |From low-rank matrices to sparse vectors in the presence of atypical observations |
| }}</WRAP> | }}</WRAP> | ||
| Line 46: | Line 53: | ||
| <fc #008000>SAIG 21-9 (2020) Kristian D. T. Bautista and Mauricio Sacchi</fc>\\ | <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 | <WRAP indent>{{:sponsorsandstudents:saig21r:chap_09.pdf |Deep-LSRTM: Solving least-squares reverse time migration with learned updating operators | ||
| - | }}</WRAP> | + | }}\\ |
| + | Python/TensorFlow package: Contact Kristian for Dockerfile | ||
| + | </WRAP> | ||
| <fc #008000>SAIG 21-10 (2020) Amsalu Anagaw and Mauricio Sacchi</fc>\\ | <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 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> | }}</WRAP> | ||
publications/annualreports/saig_21.1611528561.txt.gz · Last modified: 2021/01/24 22:49 by msacchi
Except where otherwise noted, content on this wiki is licensed under the following license: CC Attribution-Share Alike 4.0 International
