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1)  alpha-beta filter
α/β滤波算法
2)  adaptive α-β filter algorithm
自适应的α-β滤波算法
3)  α-β filter
α-β滤波
1.
α-β filter algorithm with data pre-processing is described in this paper based on a certain type of radar in order to improve the precision of radar range.
本文根据某雷达测量数据的特点,提出带数据预处理技术的α-β滤波算法来提高雷达测距精度,它在运算量几乎不增的情况下,提高了系统的测距精度。
2.
In this paper,the process of information provided by seeker with α-β filter arithmetic and the filter smoothness to the forecast burst angle through adaptive recursive least squares method is studied for the missile fuze system of beam controlled burst.
针对一类波束控制起爆的引战系统,讨论了基于α-β滤波算法对导引头测量信息进行数据处理和最小二乘自适应滤波算法对预测起爆角进行二次滤波平滑的方法。
3.
After timely matching the information measured by every sensor and fusing the data,the targets are being tracked by α-β filter,the simulation results show that the method is feasible and satisfying.
将各自测得的信息进行时间配准和数据融合后,用α-β滤波器对目标进行滤波跟踪,仿真结果表明可以得到较好效果。
4)  α-β-γ filter
α-β-γ滤波
1.
Vehicle tracking based on fuzzy clustering and α-β-γ filter;
基于模糊聚类和α-β-γ滤波的车辆跟踪
2.
In order to improve the performance of marine radar,according to α-β-γ filter theory,a kind of auto tracking method for marine radar is designed based on ARM(Advanced RISC Machines).
为提高船用雷达的性能,基于α-β-γ滤波理论,结合船用雷达应用要求,通过对跟踪设计中的目标录取、机动检测和航迹进行研究分析,提出利用ARM(Advanced RISC Machines)处理器实现该理论算法的船用雷达跟踪设计方法。
3.
We proposed a method for tracking the feature points in the image sequence based on clustering and α-β-γ filter.
研究序列图像中运动员动作的各特征点的运动变化轨迹,并加以跟踪,提出了基于聚类和α-β-γ滤波的特征点跟踪。
5)  α-β-γ filtering
α-β-γ滤波
1.
Self-calibration α-β-γ Filtering for Reentry Instrumentation;
再入(返回)测量的自校准α-β-γ滤波
6)  α-β filter
α-β滤波器
1.
α-β filter and compound control;
α-β滤波器和复合控制
2.
According to the characteristic of the navigation information from many sensors,the paper puts forward an information fusion algorithm based on the improved radial base function neural network of the adaptive fuzzy systems(AFS_RBF) and α-β filter to realize the data fusion of radar and AIS.
根据航海信息来自多种传感器的特点,以雷达与AIS为主要研究对象,提出一种基于改进的自适应模糊系统的径向基函数网络和α-β滤波器的信息融合算法,实现雷达与AIS目标数据融合。
补充资料:2α,17α-Diethinyl-A-nor-5α-androstane-2β,17β-diol
分子式:C22H30O2
分子量:326.48
CAS号:52-74-4

性质:产品为结晶化合物。

制备方法:可用3β-乙酰氧基雄甾-5-烯-17-酮经催化氢化、水解,生成3β-羟基雄甾烷-17-酮,然后以铬酸氧化开环(A)、环合得A-失碳雄甾烷-2,17-二酮,最后以乙炔炔化制得该品。

用途:双炔失碳丙酯的中间体。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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