Filter occupies an important place in modern mathematics.
滤子在现代数学中占有重要的位置。
With these numerical integration methods as mathematics tools, the new tracking algorithm, non-linear estimators weighted fusion filter, is developed, we call it TNF.
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。
Describes a comprehensive assessment method by fuzzy mathematics, and gives an example showing how to select best microporous membrane filter materials.
采用模糊数学综合评价的方法，对几种新型过滤材料—覆膜滤料的性能进行综合评价，以便于优化选择。
Kalman filter in mathematics is a statistical estimation methods, By a series of errors with the actual measurement data and the physical parameters of the best estimate.
卡尔曼滤波在数学上是一种统计估算方法，通过处理一系列带有误差的实际量测数据而得到的物理参数的最佳估算。
Kalman filter in mathematics is a statistical estimation methods, By a series of errors with the actual measurement data and the physical parameters of the best estimate.
卡尔曼滤波在数学上是一种统计估算方法，通过处理一系列带有误差的实际量测数据而得到的物理参数的最佳估算。
应用推荐