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Compressed sensing (CS) theory shows that it is possible to reconstruct exactly a sparse signal from fewer linear measurements than that would be expected from traditional sampling theory. Orthogonal matching pursuit (OMP) is a kind of greedy pursuit algorithms that could implement CS signal recovery. However, in distributed compressed sensing (DCS) scenario, an emerging field based on the correlation...
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