1·The application of Kalman filter in potential titration analysis is studied.
本文研究卡尔曼滤波在电位滴定分析法中的应用。
2·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。
3·The paper provides a new algorithm by introducing GM (1, 1) into Kalman filter .
针对这一问题，提出了一种基于GM （1， 1）模型的跟踪卡尔曼滤波方法。
4·With the algorithm of extend Kalman filter, the target motion analysis is discussed.
运用扩展卡尔曼滤波算法，研究了该系统的目标运动分析问题。
5·A method for estimating trajectory parameters by Kalman filter is introduced in this paper.
介绍了利用卡尔曼滤波器估计弹道参数进而外推出敌方炮位的方法。
6·Kalman filter is used to predict and track markers, making the tracking of markers more veracious.
利用卡尔曼滤波算法进行标记点预测和跟踪，提高了跟踪的准确性。
7·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。
8·In tracking aspect, use carrier tracking loop based on Kalman filter to improve tracking performance.
在跟踪方面，采用了基于卡尔曼滤波的载波跟踪环来提高跟踪环的性能。
9·A small target detection method using Kalman filter as the clutter background prediction was presented.
提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法。
10·The traditional method of Kalman filter for passive sonar target track association is limited in practice.
传统的目标航迹关联方法卡尔曼滤波法在实际应用时有局限性。