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Recent results have shown that the compressed sensing (CS) framework can provide a form of data confidentiality when the signals are sensed by a fully random matrix. In this paper, we extend those results by considering the security achievable by partially circulant sensing matrices generated from a vector of random variables. Circulant matrices, having similar CS recovery performance as fully random...
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