EM algorithm has become one of the methods of choice for ML estimation.
EM算法是一种很有效的最大似然估计方法。
We calculate the ML estimation via the EM algorithm, and derive its iteration equations, which gives a closed-form solution for parameters.
我们基于EM算法来计算参数的ML估计，推导了对应的参数迭代方程，给出了参数的一个闭式解。
The principle of ML direction finding and fourth-order cumulants array extension is dissertated, then a new DOA estimation method based on ML estimation and fourth-order cumulant is presented.
论述了最大似然（ML）算法测向以及四阶累积量阵列扩展的基本原理，在此基础上给出了一种基于最大似然算法和四阶累积量的DOA估计新方法。
The principle of ML direction finding and fourth-order cumulants array extension is dissertated, then a new DOA estimation method based on ML estimation and fourth-order cumulant is presented.
论述了最大似然（ML）算法测向以及四阶累积量阵列扩展的基本原理，在此基础上给出了一种基于最大似然算法和四阶累积量的DOA估计新方法。
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