Also the frequency offset was estimated based on maximum likelihood (ML) principle.
然后利用最大似然原则得到频偏估计。
Maximum likelihood classifier (MLC) is the most used and effective classification method.
最大似然法分是常规遥感图像最常用、最有效的分类方法。
And then the model parameters are estimated by means of MLE (maximum likelihood estimation).
其次运用极大似然估计方法对模型的参数进行标定。
A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.
本文提出了一种新的说话人自适应算法———最大似然模型插值。
They are consistent with the Sum Maximum Likelihood Estimate and have consistence and minimum bias.
当误差为正态分布时，与和极大似然估计完全一致，具有一致性和最小估值偏差。
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。
An unbinned maximum likelihood method is used in the lifetime fit with event-by-event resolution functions.
不分道的最大似然拟合方法和逐事例相关的分辨函数在时间拟合中被采用。
The marginal densities of single-factor interest rate models can be obtained by maximum likelihood estimation.
由极大似然估计可以得到单因子利率模型的边际密度函数。
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。
In this paper, we consider properties of the parameter's maximum likelihood estimations based on ranked set samples.
本文讨论了在有序抽样样本下的参数的极大似然估计的性质。
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。
The problem of maximum likelihood detection is also studied, and no correlation is only a special case of correlation.
并研究了衰落相关条件下的最大似然检测问题，无衰落相关只是有衰落相关的一种特殊情况。
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。
An maximum likelihood registration algorithm based on earth-centered earth-fixed (ECEF) coordinate system is presented.
提出了一种基于地心坐标系（ECEF）的传感器极大似然配准算法。
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。
A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.
利用最大似然估计原理，给出了构建系统发生树的模型和算法。
The first is the full information maximum likelihood method with linear constraint of coefficient matrixes in structure equation.
结构方程系数矩阵线性约束下的完全信息极大似然估计法。
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 the orthogonality of symbols, a simple maximum likelihood-decoding algorithm is used to recover them at the receiver accurately.
利用该矩阵良好的正交性发射的信号，在接受端可以通过简单的最大似然解码算法来准确还原。
A frequency domain adaptive maximum likelihood (ML) time delay estimation algorithm based on squared coherence function is proposed.
提出了一种基于平方相干函数的频域自适应最大似然时延估计算法。
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。
This text establishes a model of space-time block code system at first, and also introduces the theory of maximum likelihood estimate.
文章首先建立了空时分组编码的系统模型，并且介绍了最大似然估计的理论。
The tendency check, goodness of fit check, maximum likelihood estimates (MLE) of the parameters and MTBF for AMSAA model are presented.
给出了趋势检验、AMSAA模型的拟合优度检验及模型参数的极大似然估计方法。
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 computer simulation shows that the decoder can achieve maximum likelihood decoding in the environmemts of additive white Gaussian noise.
计算机模拟表明，在加性高斯噪声下，使用该神经网络可以达到最大似然译码。
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。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
本文基于信息极大似然估计，采用牛顿迭代算法，建立了ICA的一种信息极大快速算法。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
本文基于信息极大似然估计，采用牛顿迭代算法，建立了ICA的一种信息极大快速算法。
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