Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data

12 March 2014

Papers citing "Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data"

6 / 6 papers shown

Title
Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach Cem Aksoylar George Atia Venkatesh Saligrama 48 58 0 02 Apr 2013
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y. Plan Roman Vershynin 180 457 0 06 Feb 2012
Optimal Phase Transitions in Compressed Sensing Yihong Wu S. Verdú 60 149 0 29 Nov 2011
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity Po-Ling Loh Martin J. Wainwright 103 560 0 16 Sep 2011
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 253 214 0 02 Jan 2008
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 172 5,027 0 10 Nov 2007