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Fast and Efficient Compressive Sensing Using Structurally Random Matrices
IEEE Transactions on Signal Processing, no. 1 (2012): 139-154
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This paper introduces a new framework to construct fast and efficient sensing matrices for practical compressive sensing, called Structurally Random Matrix (SRM). In the proposed framework, we prerandomize the sensing signal by scrambling its sample locations or flipping its sample signs and then fast-transform the randomized samples and ...更多
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