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The theory of compressive sensing (CS) mainly includes three aspects, i.e., sparse representation, uncorrelated sampling, and signal reconstruction, in which signal reconstruction serve as the core of CS. The constraint of signal sparsity can be implemented by l<sub>0</sub> norm minimization, which is an NP-hard problem that requires exhaustively listing(More)
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