Dirong Chen

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Greedy algorithms are the major algorithmic approaches to sparse signal reconstruction from an incomplete set of linear measurements. All the greedy algorithms involve solving linear least-square problems. This is usually implemented via CGLS. Though CGLS uses a fixed number of iterations, experiments confirm that CGLS costs more than 50 percent of the(More)
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