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publications:annualreports:saig_21 [2021/01/24 22:59] msacchi |
publications:annualreports:saig_21 [2022/01/24 04:41] (current) msacchi |
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| - | ====== SAIG-20 (2020) ====== | + | ====== SAIG-21 (2020) ====== |
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| <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>\\ | ||
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| <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> | ||