全部

1·Two Kalman filters were used in this method.

该方法使用了两步卡尔曼滤波。

2·An algorithm of adaptive fuzzy Kalman filtering is presented.

提出了一种模糊自适应卡尔曼滤波算法。

3·The fourth chapter is about kalman trackers and an improvement.

第四章讨论了改进的卡尔曼跟踪滤波器。

4·Method of Kalman predict is discussed in terms of tracing moving object.

针对目标跟踪，本文探讨了卡尔曼预测的方法。

5·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。

6·It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion.

采用扩展卡尔曼滤波实现异质传感器融合。

7·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。

8·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。

9·Kalman filtering is an optimum filtering employing the norm of minimum mean square error.

卡尔曼滤波采用最小均方误差准则，是一种最优滤波。

10·This is a simple demonstration of the Kalman filtering process, and they hope to help everyone.

这是一个简单的卡尔曼滤波演示程序，希望对大家有所帮助。