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Minimum Distance algorithm is adopted to supply prior probabilities of each type required in Maximum Likelihood algorithm.
在最大似然法的程序实现中，采用了最小距离法提供先验概率。
The model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.
采用最大似然估计算法，对模型中的隐含参数进行了估计。
Base on the maximum likelihood algorithm, the algorithm divides an array into three subaperture and predigests the estimate function and reduces the compute quantity.
此算法基于极大似然算法将等距线阵均分为三个子孔径，从而简化了估计函数，也使计算量大大减少。
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