Computer Science – Information Theory
Scientist
Computer Science
Information Theory
Scientist
Analyzing Weighted $\ell_1$ Minimization for Sparse Recovery with Nonuniform Sparse Models\footnote{The results of this paper were presented in part at the International Symposium on Information Theory, ISIT 2009}
Breaking through the Thresholds: an Analysis for Iterative Reweighted $\ell_1$ Minimization via the Grassmann Angle Framework
Divide-and-conquer: Approaching the capacity of the two-pair bidirectional Gaussian relay network
Improved Sparse Recovery Thresholds with Two-Step Reweighted $\ell_1$ Minimization
Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm
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