publications:annualreports:saig_21

SAIG-21 (2020)

SAIG 21 (2020) Annual Report

Complete annual report as a single file (52.9 MB)

SAIG 21-1 (2020) Rongzhi Lin, Breno Bahia and M D Sacchi

Simultaneous source separation via iterative robust de-noising with low-rank Hankel constraint
Matlab Package: deblending_Robust_SSA.zip

SAIG 21-2 (2020) Yi Guo

Data-driven optimal sparse seismic acquisition design and reconstruction

SAIG 21-3 (2020) Yi Guo

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

SAIG 21-4 (2020) Fernanda Carozzi

Robust reconstruction via a generalized loss function
Julia package Robust_Reconstrtuction_GLF.zip

SAIG 21-5 (2020) Ji Li and M D sacchi

Deblending via Fast Robust Greedy Pursuit
Matlab package Robust_MP.zip

SAIG 21-6 (2020) Breno Bahia, Rongzhi Lin and M D Sacchi

Regularization by Denoising for simultaneous source separation
Julia package RED_Deblending.zip

SAIG 21-7 (2020) Breno Bahia and M D Sacchi

Cayley-Dickson representation of surface waves

SAIG 21-8 (2020) Breno Bahia and M D Sacchi

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

SAIG 21-9 (2020) Kristian D. T. Bautista and Mauricio Sacchi

Deep-LSRTM: Solving least-squares reverse time migration with learned updating operators
Python/TensorFlow package: Contact Kristian for Dockerfile

SAIG 21-10 (2020) Amsalu Anagaw and Mauricio Sacchi

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

SAIG 21-11 (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.txt · Last modified: 2022/01/24 04:41 by msacchi