asymptotic ML estimation 渐近ML估计
the ml estimation 最大似然估计
ml-estimation 最大似然估计
LMS-ML estimation 最小均方
maximum likelihood ml estimation 极大似然估计导出
maximum-likelihood ml estimation 最大似然估计
maximum likelihood estimation ml 最大似然估计
ML channel estimation ML信道估计
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。
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