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A general decision rule for stochastic blind
maximum-likelihood OSTBC detection is derived.
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EM 算法是 Dempster,Laind,Rubin 于 1977 年提出的求参数极大似然估计的一种方法,它可以从非完整数据集中对参数进行 MLE 估计,是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据,截尾数据,带有讨厌数据等所谓的不完全数据(incomplete data)。需要weka的算法包支持。-EM algorithm is Dempster, Laind, Rubin in 1977 for the parameters proposed by maximum
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利用最大似然法判断空间面板模型是空间滞后还是空间误差-Maximum likelihood method to judge spatial panel model spatial lag or spatial error
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扩展INFOMAX算法是盲源分离算法中极大似然估计的一种扩展,功能更强大。-The extended INFOMAX algorithm is an extension of the maximum likelihood estimation in the blind source separation algorithm, and the function is more powerful.
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Of spherical harmonics graphic simulation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, matlab development toolbox support vector machine.
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