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This paper considers the problem of sparse signal recovery when the decoder has prior information on the sparsity pattern of the data. The data vector has a randomly generated sparsity pattern, where the -th entry is non-zero with probability . Given knowledge of these probabilities, the decoder attempts to recover based on random noisy projections...
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