As is well known, the maximum likelihood detection (MLD) yields the optimal detection performance.
众所周知，最大似然检测是最优的检测算法。
The Maximum Likelihood Detector is used in the receiver for joint detection using all received signals.
接收端使用最大似然检测器，利用所有接收信号进行多用户联合检测。
Six proposed models were assessed using the maximum likelihood estimation, which is implemented by LISREL 8.3.
六个假设模式以最大概似法来加以检定评估，所使用的电脑软体为LISREL 8.3。
The distribution parameters have been estimated with either the maximum likelihood method or a modified moment method.
对其中的参数分别用极大似然法和改进的矩法进行了估计。
We describe the maximum likelihood parameter estimation problem and how the em algorithm can be used for its solution.
描述最大似然参数估计问题，介绍如何用EM算法求解最大似然参数估计。
Methods Based on the theory of renewal process the maximum likelihood estimators of parameters of the former are given.
方法借助于更新过程的理论，给出了前一种寿命试验的极大似然估计并举出模拟例子。
The method of the robustness seismic wavelet estimation using the maximum likelihood deconvolution are discussed in the paper.
利用极大似然反褶积提取鲁棒性地震子波的方法进行了研究，并讨论了极大似然反褶积的稳健性。
The parameters of probability models for altitude decompression sickness can be estimated by using the maximum likelihood method.
高空减压病概率模型的参数用最大似然法估算。
And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.
证明了一个分类网络的测试集正确率是该网络推广能力的极大似然估计；
By using the maximum likelihood estimation method, the unknown parameters in the lifetime and repair time distribution are solved.
通过应用极大似然估计方法，解决了产品寿命和维修时间分布中未知参数估计的问题。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
该方法利用最大似然准则建立目标函数，同时利用非线性共轭梯度法来优化求解目标函数。
Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.
采用最大似然估计或最大后验概率准则，用估计值来取代前面等式中的真实值。
After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.
经过几次迭代，可以有效地实现目标TPC的最大似然估计和补偿。
In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.
结合实地调查数据与最大似然分类算法进行对比实验，表明该模型比最大似然总体分类精度高16%。
The maximum likelihood estimator for population average treatment effect is proved to be consistent, unbiased and asymptotically normal.
并且证明了在正态分布的假设下，该总体平均因果效应的极大似然估计是相合无偏且渐近正态的。
Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。
The training of the novel model utilizes the maximum likelihood criterion and an effective EM algorithms to adjust model parameters is developed.
新模型的训练采用最大似然准则，并改进了EM算法来调整模型参数。
The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
给出了正态总体均值和标准差的最大似然估计（M LE），似然比检验统计量及其渐近分布等结果。
The results show that the maximum entropy method is more sensitive to the gain and phase errors than the maximum likelihood method (MLM) and MUSIC method.
结果表明最大熵算法较最大似然估计（MLM）算法和MUSIC算法对幅相误差的影响更加敏感。
We mainly used statistical method in our study, estimated the maximum likelihood probability of every word behind the preposition to be the right boundary.
我们在研究中主要采用统计方法，对于介词后每一个候选边界位置估计其成为右边界的似然概率。
The maximum likelihood estimation (MLE) from an RSS sample is consistent an asymptotically normal and more efficient than its counterpart from an SRS sample.
RSS样本下参数的极大似然估计(MLE)仍然是相合的和渐近正态的，而且RSS样本下参数的MLE较同样情况下SRS样本下参数的MLE更有效。
It has more accuration than the maximum likelihood method and SVM based on the single source data, adapts to the high spatial resolution RS Image classification.
对高维输入向量具有高的推广能力；比单源信息的SVM和最大似然方法图像分类精度更高，适合高空间分辨率遥感图像分类。
In order to enhance the fault tolerance ability of the fault diagnosis model, information correction is thus adopted based on the maximum likelihood decoding theory.
为了提高模型的容错性，提出了基于最大似然译码原理的监测信号信息校正方法，然后利用编码基本网在无畸变信号的基础上进行故障诊断。
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。
Minimum classification error (MCE) rate method is the most straightforward criterion for HMM training. Inprinciple, it is much better than the maximum likelihood method.
最小错识率(MCE)HMM训练方法是最直接的判决训练方法之一，原理上比最大似然接方法优越得多。
Simulation results show that the maximum likelihood estimates perform well in most cases in terms of the mean bias, errors in the root mean square and the coverage rate.
最后在模拟测试之下，利用最大概似估计法求得各参数的误差、均方根误差、参数之上下界限以及涵盖。
Simulation results show that the maximum likelihood estimates perform well in most cases in terms of the mean bias, errors in the root mean square and the coverage rate.
最后在模拟测试之下，利用最大概似估计法求得各参数的误差、均方根误差、参数之上下界限以及涵盖。
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