Title: FBG sensing signal denoised with improved sparse representation method
Abstract:Orthogonal matching pursuit(OMP)algorithm of compressive sensing should take sparsity as apriori condition,but the actual sparsity is not easy to be determined.In this paper,the method to determine sp...Orthogonal matching pursuit(OMP)algorithm of compressive sensing should take sparsity as apriori condition,but the actual sparsity is not easy to be determined.In this paper,the method to determine sparsity and twice orthogonal matching pursuit algorithm(TOMP)are proposed.Firstly,the entropy-weight method is introduced to determine the sparsity with combination multi-index fusion and the method of saturation point,and then the proposed method applied to reconstruct the signal.Simulation results show that,compared to the similar algorithm,the signal processed by the proposed algorithm increased 0.1second to reduce 12~22%reconstructon error;while compared with different algorithms,signal noise ratio(SNR)of the signal after processing by the proposed method can be improved by 22 dB,and root mean square error(RMSE)can be reduced by 0.7,so it demonstrates better de-noising effect.Read More
Publication Year: 2014
Publication Date: 2014-01-01
Language: en
Type: article
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