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Reconstruction, which is the core of compressive sensing (CS), can be implemented by l0 norm minimization. In practice, l0 norm minimization is a NP-hard problem that requires exhaustively listing all possibilities of the original signal and is difficult to achieve by traditional algorithms. This paper proposes a signal reconstruction algorithm combining genetic algorithm with simulated annealing...
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