Harhsa Vardhana Reddy

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Compressive Sampling Matching Pursuit(CoSaMP) and Subspace Pursuit(SP) are popular compressive sensing greedy recovery algorithms. In this letter, we demonstrate that the CoSaMP algorithm can successfully reconstruct a K-sparse signal from a compressed measurement y = Ax by a maximum of 5K iterations if the sensing matrix A satisfies the Restricted Isometry(More)
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