It can handle the information fusion 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。
Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.
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。
The general theoretical model and the way to put it into effect of federated filtering for multi-sensor information fusion are researched.
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。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
As an important part of data processing and application in the space-based information network, multi-source information fusion plays an important role in the filtering and extractions of information.
多源信息融合作为天基信息网中数据处理和应用的重要组成部分，发挥着信息筛选和提取的重要作用。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
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.
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。
Simulation results show that federated filtering based information fusion method for the multi-sensor satellite system is characterized by small computation cost, high precision and good reliability.
仿真结果表明，采用联邦滤波器对多敏感器卫星姿态确定系统进行信息融合，具有计算量小、精度高、可靠性好等优点。
Information Fusion. Image Filtering. Hybrid Filtering. Compositive Entropy.
信息融合。图像滤波。混合滤波。合成熵。
The adaptive Kalman filtering (AKF) based on intelligent information fusion algorithm has currently became an effective approach to enhance the integrated navigation system's robustness and accuracy.
针对当前自适应组合导航系统算法的研究趋势，总结了卡尔曼滤波技术的缺陷和利用智能融合技术提高滤波器性能的设计思想。
The adaptive Kalman filtering (AKF) based on intelligent information fusion algorithm has currently became an effective approach to enhance the integrated navigation system's robustness and accuracy.
针对当前自适应组合导航系统算法的研究趋势，总结了卡尔曼滤波技术的缺陷和利用智能融合技术提高滤波器性能的设计思想。
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