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In this paper, we propose, analyze, and test a new method for solving ℓ1-norm regularization problems arising from the spare solution recovery in compressed sensing, basis-pursuit problems, and linear inverse problems. The method aims to minimize a non-smooth minimization problem consisting of a least-squares data fitting term and a ℓ1-norm regularization term. The problem is firstly formulated for...
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