publications:annualreports:saig_21

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SAIG-20 (2020)

SAIG21 (2020) Annual Report

Complete annual report as a single file (52.9 MB)

SAIG21-1 (2020) Rongzhi Lin, Breno Bahia and M D Sacchi

Simultaneous source separation via iterative robust de-noising with low-rank Hankel constraint

SAIG21-2 (2020) Yi Guo

Data-driven optimal sparse seismic acquisition design and reconstruction

SAIG21-3 (2020) Yi Guo

Time-lapse acquisition design via optimal receiver-source placement and reconstruction

SAIG21-4 (2020) Fernanda Carozzi

Robust reconstruction via a generalized loss function

SAIG21-5 (2020) Ji Li and M D sacchi

Deblending via Fast Robust Greedy Pursuit

SAIG21-6 (2020) Breno Bahia, Rongzhi Lin and M D Sacchi

Regularization by Denoising for simultaneous source separation

SAIG21-7 (2020) Breno Bahia and M D Sacchi

Cayley-Dickson representation of surface waves

SAIG21-8 (2020) Breno Bahia and M D Sacchi

From low rank matrices to sparse vectors in the presence of atypical observations

SAIG21-9 (2020) Kristian D. T. Bautista and Mauricio Sacchi

Deep-LSRTM: Solving least-squares reverse time migra- tion with learned updating operators

SAIG21-10 (2020) Amsalu Anagaw and Mauricio Sacchi

Regularization by Denoising (RED) with adaptive-weighted Total Variation for 3D FWI model updates in large- contrast media

SAIG21-11 (2020) Jhonatan Amado

Three-dimensional time-domain finite-difference modelling for viscoelastic seismic wave propagation.

©2015 Signal Analysis and Imaging Group

publications/annualreports/saig_21.1611528098.txt.gz · Last modified: 2021/01/24 22:41 by msacchi