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Compressed sensing SL0 algorithm
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The SLl0 algorithm is a new algorithms for compressed sensing reconstruction of sparse, approximation by smooth functions such as using Gaussian function 0-norm optimization problems in compressed sensing, NP problems into smooth convex optimization problems. According to my tests, SL0 algorithm to calculate efficiency significantly higher than traditional OMP, BP algorithm and has a better calculation accuracy, but slightly worse tolerance for noise.
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