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。
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。
Discrete Wavelet Packet Modulation (DWPM) System based on ML (Maximum Likelihood) algorithm and Optimum Pilot Symbol Assisted Modulation (OPSAM) is studied for Rayleigh Fading Channels.
提出了一种基于导频信号和最大似然信道估计算法的离散小波包调制(DWPM)系统。
Viterbi algorithm is a kind of maximum likelihood decoding method, which can obtain high decoding speed and cost fixed decoding time, so it is widely used in deep space communication.
维特比译码算法是一种最大似然译码，它可以得到较高的译码速度以及译码计算时间固定，因而在深空通信中得到广泛应用。
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。
According to the selected scheme an equation is constituted for the observation. Identification algorithm for the nonlinear dynamic system, is deduced following the maximum likelihood principle.
然后根据选定的量测方案建立观测方程，并按极大似然原理导出非线性动力学系统的参数辨识算法。
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 model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.
采用最大似然估计算法，对模型中的隐含参数进行了估计。
In this paper, the aerodynamic parameter identification of elastic aircraft is studied by the maximum likelihood estimation algorithm using, orthogonal test table for computing sensitivities.
本文基于正交计算灵敏度的极大似然估计算法研究了弹性飞行器的气动参数辨识问题。
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。
As to the estimating process of GARCH (1, 1) model, the author adopted Maximum Likelihood Estimation and BHHH algorithm to get unknown parameters' value.
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。
And then a method called system input reconstruction for estimating dynamic system's time lags and an algorithm based on maximum likelihood estimation for extracting the time lags are presented.
然后就动态系统未知时延参数的估计问题提出了重构系统输入的估计方法，并以极大似然估计迭代算法为基础给出了一套估计动态系统时延参数的算法。
We analysis maximum likelihood methods in positioning precision, ease of implementation, characteristics of the areas of commonality, compared with the previous algorithm.
与之前的算法进行对比，分析了最大似然函数法在定位精度、实现难易度、通用性等方面的特性。
The maximum mean power estimation timing recovery algorithm and the maximum-likelihood carrier phase estimation algorithm are employed.
采用了最大平均功率定时同步算法和最大似然载波相位估计算法。
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。
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。
Base on the systematic analysis to the positioning algorithms for the scintillation gamma cameras, a centroid guided 3d maximum likelihood positioning algorithm was proposed.
本文在深入、系统地总结分析用于闪烁相机定位算法的基础上，提出了质心导引的三维最大似然定位算法。
In this paper we discuss the convergence of the EM algorithm for iterative computation of maximum likelihood estimates when the observations can be viewed as incomplete data.
本文讨论EM算法的收敛性，其中EM算法是不完全数据处理中的一类重要的参数估计的迭代算法。
Furthermore, through the maximum likelihood used for evaluating three parameters of wavelet coefficients' probability model, the adaptive algorithm is derived in the article.
而且本文通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应。
However, the maximum likelihood detection algorithm can achieve the optimum detection performance while the complexity is extremely high.
而性能最好的最大似然检测算法的复杂度非常高。
Focusing on the problem that the detection complexity was high in vertical-Bell LABS layered space-time system, a novel simplified maximum likelihood algorithm was proposed.
针对贝尔实验室垂直分层空时系统最大似然检测复杂度过高的问题，提出一种简化最大似然算法。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
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。
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。
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。
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.
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。
Firstly, we introduce the theory of finite mixture model and EM algorithm for maximum likelihood estimation.
首先，介绍了有限混合模型理论及应用EM算法求解极大似然估计。
A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems.
针对码分多址(CDMA)系统提出了一种基于无约束最优化的近最大似然多用户检测算法。
A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems.
针对码分多址(CDMA)系统提出了一种基于无约束最优化的近最大似然多用户检测算法。
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