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Minimum L1-norm optimization model has found extensive applications in linear parameter estimations. L1-norm model is robust in non Gaussian alpha stable distribution error or noise environments, especially for signals that contain sharp transitions or dynamic processes. However, its implementation is more difficult due to discontinuous derivatives, especially compared with the least-squares model...
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