Abstract:The theory of Compressive Sampling(CS) overcomes the drawback of Nyquist sampling theory,it points out that one can reconstruct the signal accurately by some algorithms,and the sampling rate is well l...The theory of Compressive Sampling(CS) overcomes the drawback of Nyquist sampling theory,it points out that one can reconstruct the signal accurately by some algorithms,and the sampling rate is well less than the Nyquist rate.In order to solve the problem which the reconstruct algorithms need the information of sparsity.This paper presents an Adaptive Compressive Sampling Matching Pursuit(ACSMP) algorithm.The algorithm can get rid of the dependence on sparsity,and can achieve the original signal through adjusting the step size adaptively in iteration.Simulation results show that the proposed algorithm can reconstruct the signal accurately,the probability of reconstruction and the computational complexity are better than others.Read More
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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