它们可用于信号融合滤波。
它们可统一处理融合滤波、预报和平滑问题。
They can handle the fused filtering, smoothing and prediction problems in a unified framework.
同单传感器情形相比，可提高融合滤波精度。
Compared to the single sensor case, the accuracy of fused filtering is improved.
可统一处理信号融合滤波、平滑和预报问题。
It can handle the signal fused filtering, smoothing and prediction problems in a unified framework.
它可统一处理信息融合滤波、平滑和预报问题。
It can handle the information fusion filtering, smoothing and prediction problems in a unified framework.
它们可统一处理自校正状态融合滤波、平滑和预报问题。
They can handle the fused filtering, smoothing and prediction problems in an unified framework.
它们可统一处理白噪声反卷积融合滤波、平滑和预报问题。
They can handle the white noise deconvolution fused filtering, smoothing and prediction problems in a unified framework.
它们可用于带ARMA有色观测噪声系统状态融合滤波问题。
They can be applied to the state fused filtering problem for multisensor systems with the ARMA coloured measurement noises.
特别可用于解决含有未知模型参数和噪声统计系统的自校正信息融合滤波问题。
Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.
可统一处理融合滤波、平滑和预报问题，可减少计算负担和改善局部估计精度。
They can handle the fused filtering, smoothing, and prediction problems in a unified framework. They can reduce the computational burden, and can improve the local estimation accuracy.
可统一处理融合滤波、平滑和预报问题，可减少计算负担和改善局部滤波精度。
They can handle the fused filtering, smoothing, and prediction problems in a unified framework. They can reduce the computational burden, and can improve the local filtering accuracy.
它们的精度高于每个局部估值器的精度，且可统一处理融合滤波、预报和平滑问题。
Their accuracy is higher than that of each local estimator, and they can handle the fused filtering, prediction, and smoothing problems in a unified framework.
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。
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.
以这些数值积分方法为数学工具，推导出了非线性估计子加权融合滤波器，本文中简称TNF。
With these numerical integration methods as mathematics tools, the new tracking algorithm, non-linear estimators weighted fusion filter, is developed, we call it TNF.
在初步分离结果的基础上，利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
Then based on the primary isolation result, the fault is accurately located by the multiple-model fusion filtering algorithm, and the fused state and fault estimates are obtained as well.
对多传感器信息融合联邦滤波一般理论模型及其实现方法进行了研究。
The general theoretical model and the way to put it into effect of federated filtering for multi-sensor information fusion are researched.
针对这一问题，进一步提出了基于分散滤波的数据融合方案。
To solve this problem, the disperse filter data fusion scheme is proposed.
将其和卫星导航系统（GNSS）共同运用到弹道导弹组合导航系统中，以融合反馈模式的联邦滤波器为基础，构建了SINS/CNS/GNSS组合导航系统。
On the basis of feedback federal filtering, the CNS data producer and GNSS are used together in an integrated navigation in order to set up the SINS/CNS/GNSS integrated navigation system.
本文提出了一种基于局部直方图匹配滤波技术的影像融合新方法。
This paper presents a new image fusion scheme based on local histogram matching filtering techniques for fusing high resolution panchromatic and multi spectral images.
传统的数据融合算法-卡尔曼滤波算法，在参数选择上要求较高，选择不当即导致较大误差，影响算法效果。
The classical data fusion algorithm-Kalman algorithm needs a tight choice of the parameters, any improper choice may result in great error and lead to bad effect of the algorithm.
为了提高多传感器数据融合的精度，数据或航迹关联成为对目标跟踪滤波的关键。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
针对分水岭分割易产生过分割问题，提出一种基于融合自适应形态滤波的分水岭分割算法。
To overcome the over-segmentation for the watershed, this paper presented a novel algorithm of watershed segmentation based on fusion and adaptive morphological filtering.
该算法采用协方差匹配技术，依据滤波新息，动态调整测量噪声方差，使融合系统的均方误差始终最小。
With covariance matching technique and innovation information of filtering, the noise variance is dynamically adjusted and the mean square error of the fusion system always keeps minimum.
采用扩展卡尔曼滤波实现异质传感器融合。
It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion.
提出了一种融合均值平移和粒子滤波的方法，综合了二者的效率和可靠性等优点。
The article presents a fusion method that combines mean shift and particle filter. It also integrates the efficiency and robust excellence of the two methods.
提出了一种基于数学形态学滤波的多分辨力图像融合。
A novel multi-resolution image fusion based on mathematical morphological filtering is proposed.
针对多尺度带乘性噪声系统，在多尺度最优滤波融合的基础上，进行状态最优固定域平滑算法的研究。
Based on multiscale optimal filtering fusion, an optimal state fixed-interval smoothing algorithm is developed for systems with multiplicative noise.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
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