Secondly, epoch state filter is studied by analyzing its working principle and deriving the state equation and measurement equation.
其次，研究了历元状态滤波算法，分析其工作原理，并推导出了状态方程和测量方程。
The on-board autonomous term orbit prediction is built according to epoch state filter. And sun-synchronous orbit satellites are taken as examples for the simulation.
采用历元状态滤波建立了星上自主中长期轨道预报方法，并以太阳同步轨道卫星为例对算法进行了仿真验证。
In this case, add a filter to the custom administrative client to identify only those state changes that apply to the deployment manager.
在此情况下，可向自定义管理客户端添加一个过滤器，来识别仅应用于部署管理器的状态更改。
You will filter the information based on the selected State.
您将基于所选择的州过滤信息。
Filter findings based on their severity or their state (for instance, ignored or resolved).
基于状态的严重性，过滤结果(例如，忽略或者重新解决)。
The filter bean contains state information about the current filter.
过滤bean包括有关当前过滤器的状态信息。
The search bean can access the state of the filter bean in order to determine which results are returned in the suggestion list.
搜索bean能够获取过滤器bean的状态以决定在推荐列表中返回哪些结果。
Now I'll run the Seurat application on the Seurat painting using the RGB-complement filter. Figure 2 shows the filtered painting when cyclic space is in its initial, random state
现在我将使用RGB 互补过滤器在Seurat 图画上运行 Seurat应用程序。
The first time you state the priorities, they might filter out any messages that have to do with changing how they do their work.
当你第一次告知那些优先级的时候，他们会过滤掉其中改变他们工作的那部分。
By providing a filter, you're telling the OSGi service registry to only notify you of state changes in the specified service.
通过提供过滤器，可以告知osgi服务注册中心只需通知您指定服务中的状态更改。
Note that adding the state parameter enables you to filter the policies for a given state.
请注意，添加state参数后能够过滤给定状态。
First, a Filter operator which she names "State" is added onto the canvas for the location.
首先，Jane将一个针对位置的Filter操作符添加到画布上，并将其命名为“State”。
Based on real-time estimation of noise matrix and grey clustering of state variable, filter or gain matrix is modulated so as to get an estimation of the state vector.
实时估计出系统噪声方差矩阵和量测噪声方差矩阵，对状态变量进行灰色聚类，并对滤波矩阵和增益矩阵进行实时自适应调整，计算出状态向量的递推估计值。
The Successive Orthogonalization Decentralized Kalman Filter (SODKF ) is a new method which is used for large system state estimation.
逐次正交化分布式卡尔曼滤波器是对大系统进行状态估计的一种新方法。
When using Kalman Filter to track a target, estimation of the initial state of the target is an important factor influencing tracking precision in the initial phase.
采用卡尔曼滤波器对目标进行跟踪时，目标初始状态估计是影响初始阶段跟踪精度的一个重要原因。
When TVAR model signal and reflection coefficients were extended to state vector, Gaussian Particle Filter (GPF) was applied to estimate parameters of TVAR model.
将TVAR模型的信号和反射系数矢量增广为状态矢量后，应用高斯粒子滤波器(GPF)估计TVAR的模型参数，构造了语音增强算法。
Due to the nonlinearity of the state and measurement equations, the extended Kalman filter is used.
由于状态和观测方程都是非线性的，故采用了扩展的卡尔曼滤波器。
The method augments the measurement delay as a state of conventional Kalman filter as a state, and impacts on both velocity and attitude measurements owing to the time delay are also considered.
该方法将主惯导数据测量延迟时间扩展为卡尔曼滤波器的一个状态变量，并同时考虑了测量延迟时间对速度和姿态测量量的影响。
By taking health parameters as augmented state variables, a Kalman filter was then designed to predict the health parameters from the deviation of measurable parameters.
将健康参数作为增广的状态变量，设计了卡尔曼滤波器，从而可以根据可测参数的偏离量估计得到健康参数。
The filter USES the measurements of three accelerometers and a magnetic compass to drive the state update.
滤波器用三个加速度计的测量量和磁罗盘来驱动状态的更新。
Kalman filter is a linear minimum variance state estimator, and it combined array antenna and multiuser detection effectively.
卡尔曼滤波是一种线性最小方差状态估计，把它有效地结合阵列天线与多用户检测。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.
结合现代时间序列分析方法，并根据新息模型设计了状态最优滤波器。
Objective To observe the influence of ethylene oxide sterilization on viruses inactivation blood transfusion filter and the residual state of ethylene oxide in the filter.
目的观察环氧乙烷灭菌处理对病毒灭活输血过滤器的影响和环氧乙烷在滤器中的残留状况。
Compared with all local filters and the fusion filter weighted by scalars for the state vector, the component fusion filter weighted by scalars has higher precision.
与各局部估计以及状态向量按标量加权融合估计相比，分量融合滤波具有更高的精度。
At first, the application background of Kalman filter theory is introduced. Then, discrete Kalman filter equations are derived, and state equations of continuous system are discreted.
首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化。
After performing Kalman filter, the optimal state estimation can be obtained.
进行卡尔曼滤波后，可以获得系统状态最优估计值。
As other predictive filters, state space is recursively got from measure space with system model by using the Particle filter.
这种滤波和其他预测性滤波一样，可以通过模型方程由测量空间递推得到状态空间。
To improve the performance of object tracking, a particle filter algorithm was proposed which(uses) state partition technique and parallel extended kalman filter to construct proposal distribution.
为了进一步提高目标跟踪的性能，采用一种新的建议分布构造方法，即利用状态分割技术和平行扩展卡尔曼滤波技术构造建议分布。
Common state estimates can be optimally obtained by the state fusion algorithm of the master filter.
主滤波器的状态联合算法保证了获得系统最优公共状态估值。
Based on that, qualitative simulation methods including state transform rule, filter and simulation engine are designed.
基于此设计了振荡-均衡定性模拟方法，包括状态转换规则、过滤原理和模拟引擎。
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