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Enhancing sparsity by reweighted $\ell _{1}$ minimization. (English)
J. Fourier Anal. Appl. 14, No. 5-6, 877-905 (2008).
In this nice paper, the authors study a new method for sparse signal recovery that outperforms (unweighted) $\ell_1$minimization in the sense that substantially fewer measurements are needed for exact recovery. Let $Φ$ be a real $m\times n$ matrix with \$m Reviewer: Manfred Tasche (Rostock)