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The theory of Compressed Sensing (CS) enables reconstruction of sparse or compressible signals from a small number of linear measurements, relative to the dimension of the signal space. Rather than the uniformly sampling, the compressive sensing computes inner products with a randomized dictionary of test functions. The signal is then recovered by a convex optimization. One of the main challenges...
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