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CoSaMP: Iterative Signal Recovery From Incomplete and Inaccurate Samples

By Deanna Needell, Joel A. Tropp

Communications of the ACM, Vol. 53 No. 12, Pages 93-100

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Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. The main computational challenge in CoSa is to reconstruct a compressible signal from the reduced representation acquired by the sampling device.

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