A Reconstruction Algorithm for Compressed Sensing Noise Signal ?
نویسندگان
چکیده
The novel theory of Compressed Sensing (CS) reduces the samples of compressible signal sharply by information sampling. In order to improve reconstruction accuracy of noise signal for CS, a Singular Value Decomposition (SVD) noise signal reconstruction algorithm is presented in this paper. This algorithm decomposes the random measurement matrix, modifies the diagonal matrix Eigen values by mean algorithm and then obtains the new linear measurement matrix. The new matrix has higher reconstruction accuracy and this is proved theoretically. The simulation results also show that this algorithm can enhance reconstruction accuracy value in the range of 3 – 5% compared to the existing orthogonal matching pursuit (OMP) algorithm.
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