New-folder-(2)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)

关于光学理论知识的一些处理函数仿真，很有帮助的(Theoretical knowledge on some of the optical processing function simulation)

说明：  经典的EFK雷达测量模型 构造数据为雷达采样数据，距离、俯仰角、方向角。 假设目标匀速直线运动，CV模型 状态变量用x，y，z，以及各自的导数 (EFK classic measurements of radar data for modeling radar sampling data, distance, pitch angle, direction angle. Goal of uniform linear motion assumption, CV model with state variables x, y, z, and their respective derivatives)

三个空间错开漩涡光束左旋螺旋形焦点在YZ平面的强度分布计算程序(YZ distribution of left handed spiral focal spot)

GUI CREATING IN MATLAB EASY AND FAST

Matlab官方文档：Matlab编程技巧(Matlab official documents : Matlab programming skills)

visual c++ 与matlab联合编程(visual c++ joint programming with matlab)

该程序实现了巴克码（1110010）作群同步码的识别器。(the realization of Buck code (1110010) for the group synchronous code identifier.)

二维函数逼近仿真，包含误差分析，三维图显示(Two-dimensional function approximation simulation, including error analysis, three-dimensional map display)

本人根据公司手册 自己总结的xdc这个模块的介绍以及具体作用 同时包含如何使用这个模块的一些例子 以及这些例子的理解(a good introduce to xdc)