介绍一种改进的固定增益卡尔曼滤波方法。
This thesis concentrates on the method of improved fixed-gain Kalman filter.
介绍和分析了最小二乘和卡尔曼滤波方法在时间预报中的应用。
This paper introduces and analyzes the application of the least square method and Kalman filter in time prediction.
本文利用卡尔曼滤波方法精确地估计圆度误差评定中一阶模型参数。
In this paper, the Kalman filter approach is used to accurately estimate the parameters of first-order model for the evaluation of roundness errors.
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