查询词典 by current estimation

Furthermore, a content adaptive IMC algorithm in MCTF, composed of two estimation models, is put forth to reduce the ghosting artifacts. One model is based on characteristic of subbands coefficients for low activity region estimation, and the other is to estimate the MV accuracy in high subbands from the energy after ME. Artifacts, caused by inaccuracy ME or update step, can be reduced effectively by the estimation models.

根据小波变换的子带系数特性，建立了图像平坦区域的估算模型；根据运动估计后的高频子带能量，建立了运动估计准确程度的估算模型，从而实现了具有内容自适应特性的MCTF反向运动补偿算法，减小了ghosting伪影，克服了由于运动估计的不准确以及更新步骤可能导致的低频子带反向补偿误差。

In Section 3,we give the simple narration aboutthe Bayesian analysis and Bayesian inference of the general linear model,and consider two specifica-tion of the general linear model.Based on these we give the point estimation,region estimation(includ-ing the high posterior density estimation)to the parameters and the predictive analysis of the generallinear model and so on.And in the final of this chapter we introduce some relative references about theBayesian analysis of Linear Model.

第三节就布罗米林对一般线性模型所作的贝叶斯分析与推断给出简单阐述，考虑了一般线性模型的两种设定，基于此给出一般线性模型参数的点估计、区域估计以及预测等贝叶斯分析和推断，并且介绍有关线性模型的贝叶斯分析的主要参考文献。

Dorea advanced kernel estimation p of p ,which is a general density with respect to a σ-finite measure v on.ξ is a σ-field of subsets of ER. Some qualities have been gotten. And it has been proved that those results consist of theories of classical kernel estimation for continual density and further extended theories of disperse kernel estimation.

Y Dorea在2001年提出了关于上的σ-有限测度v的一般密度函数P的核估计几，其中ER，ξ是E的一个σ-域，得到了一些结果，并且验证了所得结论包含经典的连续密度核估计的结论，还进一步延伸了离散分布核估计的结论。

In this paper,we propose a novel model named distribution-free data density estimation,which is based on distribution-free(i.e.,independent of data distributions) sampling on global cumulative distribution to achieve high estimation accuracy with low estimation cost regardless of distribution models of the underlying data.

分布无关密度估计算法首先将底层数据的任意分布转换成一中间分布——累计概率分布函数。由于累计概率分布函数的输出在[0，1]之间均匀分布，因此接着对累计概率分布函数的输出随机采样，可以准确估计当前网络中数据的密度分布。

Robust estimation, RLS Estimation, M estimation, Independent observations, Correlated observations, Function model, Random model, Outliers analysis, Outliers Confirmation, Outliers Disposal, Infectant Distribution, Equivalent weights, Equivalent variance-covariance

稳健估计，稳健最小二乘估计， M 估计，独立观测，相关观测，函数模型，随机模型，粗差分析，粗差定位，粗差处理，污染分布，等价权，等价方差-协方差

Two algorithms are put forward to solve the problem of on-board engine torque estimation, which is the key technology of Coordinated Control Algorithm. One is called the algorithm of engine torque estimation based on mean-value model and the other is called the algorithm of engine torque estimation based on instantaneous crankshaft speed.

在仿真研究的基础上，针对如何实现动态协调控制算法中的关键技术——发动机转矩在线估计提出了两种算法：基于发动机平均值模型的转矩估计算法和基于发动机曲轴瞬时转速的转矩估计算法。

The thesis analyzes the methods for parameter estimation of distributed sources in detail, and low complexity estimators, comes up with RELAX in parameter estimation and robust method of high resolution parameter estimators for distributed sources, and gives theory analysis and simulation results. The main work is:1 This text gives a study of the signal models of two kinds of distributed sources: coherent distributed sources and incoherent distributed sources, analyzes eigenvalue distribution of correlation matrix.2 Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.

论文详细分析了已有分布式目标参数估计方法及低复杂度的参数估计方法，提出了分布式目标参数估计的RELAX算法和具有稳健性的分布式目标高分辨估计方法，并给出了相应的理论分析和仿真实验结果。

To overcome the local optimal problem existing in some maximum likelihood DOA estimation algorithms, improve the estimation accuracy, a global optimal solution of nonlinear maximum likelihood DOA estimation is obtained by real-valued genetic algorithm proposed in this paper.

所提出的实数遗传算法由含实数域结构和目标函数信息的实数交叉和变异算子构成，是较理想的获取非线性实变量函数全局最优解的方法。

Lagrange multiplication operator was used to analyze the parameter estimation equation for obtaining the optimized estimation of parameters. Computer simulation result showed that this method is better than traditional least squares estimation.

计算机仿真的结果表明，该优于传统的最小二乘估计法，获得的估计参数是渐进无偏的，获得的估计参数的辨识精度更高，该参数约束估计法在系统辨识和参数估计领域具有极其重要的实际应用价值。

This study attempts to use the statistical techniques of multilevel confirmatory factor analysis to model the measurement of learning school. The analyses follow the four initial steps proposed by Muthèn: conventional CFA of total structure, estimation of between-group variation, estimation of within-group structure, and estimation of between-group structure.

本研究采用多层次验证性因素分析的统计技术来模式化学习型学校的量表，分析依循Muthèn(1994)所提出的四个先行检定步骤：对整体结构做传统的验证性因素分析、组问变异的估计、组内结构的估计，以及组间结构的估计。

Listen,point and check your answers.

听，指出并且检查你的答案。

Warming needle is one of effective treatment methods for knee arthralgia aggravated by cold,and it is simple,safety,so it should be developed in clinical acupuncture and moxibustion extensively.

但以本院科针灸门诊在2005年1月—2006年6月期间共收治膝痛患者100余例，经过临床的诊断后，其中施以温针治疗的48例，疗效显著，报道如下。1临床资料本组病例48