Abstract
Concerning the high complexity and long-time running of the compressed sensing reconstructed algorithm,a compressed sensing parallel algorithm based on multi-core processors was proposed.On the basis of a careful analysis of the compressed sensing algorithm,OpenMP was used for compressed sensing measurement and Orthogonal Matching Pursuit(OMP) algorithm for parallel processing to improve program performance.The experimental results show that the speedup is in linear growth with the increasing threads.The execution of the procedure is more effective.Moreover,the more complex the reconstruction process is,the more obvious the performance optimization will be.
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