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We focus on the maximization-likelihood algorithms and its application aimed at achieving satisfactory performance at the price of a moderate computational complexity. We propose a new algorithm named step-down grouping maximization likelihood (SGML). At the analysis stage, some interesting properties shared by the proposed procedures are proven. Finally, the performance assessment shows that the...
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