Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and
Robust Approximate Message Passing

Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing

5 January 2013

Florent Krzakala

Lenka Zdeborová

ArXiv (abs)PDF HTML

Papers citing "Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing"

6 / 6 papers shown

Title
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance Jean Barbier Francesco Camilli Justin Ko Koki Okajima 88 6 0 04 Nov 2024
Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction Jean Barbier Florent Krzakala M. Mézard Lenka Zdeborová 91 20 0 09 Jul 2012
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing D. Donoho Adel Javanmard Andrea Montanari 177 200 0 04 Dec 2011
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 108 2,362 0 21 Jul 2009
A typical reconstruction limit of compressed sensing based on Lp-norm minimization Y. Kabashima Tadashi Wadayama Toshiyuki Tanaka 111 159 0 06 Jul 2009
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 141 167 0 15 Dec 2008