EM算法是一种很有效的最大似然估计方法。
EM algorithm has become one of the methods of choice for ML estimation.
利用最大似然估计法对模型中的参数进行了估计。
The parameters in model were estimated by maximum likelihood estimate method.
利用最大似然估计法对模型中的参数进行了估计。
The parameters in model are estimated by maximum likelihood estimate method.
采用最大似然估计算法，对模型中的隐含参数进行了估计。
The model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.
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。
A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.
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。
After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.
通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。
It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.
分析了现有的基于循环前缀的最大似然估计算法及其对频偏估计的跟踪。
Secondly, The ML algorithm based on CP in being and its tracking performance are analyzed.
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。
Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.
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。
This text establishes a model of space-time block code system at first, and also introduces the theory of maximum likelihood estimate.
应用最大似然估计，得到了判决反馈这种基于发送序列以知的载波估计方法。
Using Maximum-likelihood estimation, we choose the decision feed back carrier estimate method based sent list known.
在获得了相应的数学模型后，对最小二乘估计和最大似然估计方法进行了比较。
After deriving the mathematical equations, a comparison between the LS and the ML estimators was performed.
在获得了相应的数学模型后，对最小二乘估计和最大似然估计方法进行了比较。
Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.
另外最大似然估计的一个优点是用于不确定度计算的克拉美-罗下限值更易于获得。
In addition, it has the advantage that the Cramer-Rao lower bound can be used as an uncertainty bound on the estimation.
文中我们讨论了更新过程中分布参数的最大似然估计，证明了最大似然估计是强相合的。
The Maximum Likelihood Estimator (MLE) of the parameter of interarrival distribution based on renewal process is discussed. It is obtained that the MLE converges strongly to the true parameter.
使用的最佳带幅宽有的依赖于探知函数，有的不依赖探知函数，还用到经典的最大似然估计法。
Some of optimal bandwidths used depends on detection function, some do not rely on detection function, still use classic ground Maximum Likelihood estimate.
主要介绍饺子机可靠性设计方面的具体做法，然后用最大似然估计法对饺子机的寿命进行计算。
Concrete conditions in the reliability design of the dumpling machine was shown. Using the largest resemble assessed method, the life of dumpling machine was count.
至于GARCH(1,1)模型的估计过程，本文用最大似然估计法和BHHH算法求未知参数值。
As to the estimating process of GARCH (1, 1) model, the author adopted Maximum Likelihood Estimation and BHHH algorithm to get unknown parameters' value.
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。
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.
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 maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
通过简化最大似然估计目标函数，提出了用自适应迭代法并结合宽窗口法来实现序列同步和序列估计。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
文章最后基于最大似然估计和线性卡尔曼滤波方法提出了一种理论上的最佳GPS载波跟踪环结构设计方案。
Finally, a theoretically optimal structure of GPS carrier tracking loop based on maximum likelihood estimation and linear Kalman filtering is proposed in this dissertation.
基于EM方法的多用户检测算法采用EM迭代方法来求解DS-CDMA系统中各用户发送数据的最大似然估计解。
The multi-user detection algorithm based on the EM method is used to look for the maximum-likelihood estimation of users' data iteratively in a DS-CDMA system.
笔者使用LISREL58.52软件最大似然估计程序，以计量指标的相关系数矩阵为输入矩阵，对概念模型进行检验。
The author applies the software LISREL58.52, a maximum estimation program, to carry out the test of the concept model by using the correlation matrix of measuring index as the input matrix!
方法运用实例和模拟数据说明传统方法灵敏度和特异度的有偏估计，并运用最大似然估计和贝叶斯估计对灵敏度和特异度进行校正。
MethodsComparing the estimate of sensitivity and specificity by traditional, frequency and Bayesian method. The estimators are illustrated using data from reviewing issues and simulating the data.
利用该模式函数对另一组NSCAT后向散射系数数据进行海面风场反演，采用最大似然估计确定多个风矢量解，并采用矢量中值滤波消除多解。
This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.
首先用参数模型来描述雷达探测信号，然后用最大似然(ml)法对模型参数进行估计。
Using parameter model to describe the radar signals reflective from targets and then the model parameters are estimated by means of ML method.
然后利用最大似然原则得到频偏估计。
Also the frequency offset was estimated based on maximum likelihood (ML) principle.
无线通信中应用最大似然序列估计，其时延和计算复杂度是必须解决的两个问题。
Delay and computational complexity are two problems to be solved when Maximum Likelihood Sequence Estimation (MLSE) is used in wireless communication system.
无线通信中应用最大似然序列估计，其时延和计算复杂度是必须解决的两个问题。
Delay and computational complexity are two problems to be solved when Maximum Likelihood Sequence Estimation (MLSE) is used in wireless communication system.
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