2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

2020 IEEE International Symposium
on Information Theory

21-26 June 2020 • Los Angeles, California, USA

Technical Program

G.3: Compressed Sensing

Session Type: Lecture
Track: Graphs, Games, Sparsity, and Signal Processing
Virtual Session: View on Virtual Platform
Session Chair: Sundeep Rangan, New York University
 
G.3.1: Optimal Restricted Isometry Condition for Exact Sparse Recovery with Orthogonal Least Squares
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Junhan Kim; Seoul National University
         Byonghyo Shim; Seoul National University
 
G.3.2: Some Performance Guarantees of Global LASSO with Local Assumptions for Convolutional Sparse Design Matrices
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Avishek Ghosh; University of California, Berkeley
         Kannan Ramachandran; University of California, Berkeley
 
G.3.3: Quantized Corrupted Sensing with Random Dithering
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Zhongxing Sun; Beijing Institute of Technology
         Wei Cui; Beijing Institute of Technology
         Yulong Liu; Beijing Institute of Technology
 
G.3.4: Macroscopic Analysis of Vector Approximate Message Passing in a Model Mismatch Setting
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Takashi Takahashi; Tokyo Institute of Technology
         Yoshiyuki Kabashima; The University of Tokyo
 
G.3.5: A Novel B-MAP Proxy for Greedy Sparse Signal Recovery Algorithms
 Click here to download the manuscript
 Click here to view the Virtual Presentation
         Jeongmin Chae; Ajou University
         Song-Nam Hong; Ajou University
 

Plan Ahead

IEEE ISIT 2021

2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

Visit Website!