Abstract
Countless signal processing applications include the reconstruction of an unknown signal from very few indirect linear measurements. Because the measurement operator is commonly constrained by the hardware or the physics of the observation process, finding measurement matrices that enable accurate signal recovery poses a challenging discrete optimization task. Meanwhile, recent
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