通过对SAR原始数据处理，生成SAR图像 RDA

基于Radon-Ambiguity变换的机动目标检测方法 首先用基于Radon--Ambiguity变换(RAT)的时频分析方 法估计多个目标的加速度并进行运动补偿,通过频域滤波对多目标进行分离并估计粗略的多普勒 频率(A maneuvering target detection method based on Radon-Ambiguity transform is first used to estimate the acceleration of multiple targets and compensate for motion based on the time-frequency analysis method based on Radon--Ambiguity transform (RAT). The multi-target is separated by frequency domain filtering and the rough Doppler frequency is estimated.)

基于stm32开发板的简单应用，触摸屏模块的基本应用及初始化。(Touch screen is based on the simple application of 32 development board, the basic application and initialization of touch screen module.)

说明：  cplex的实例调用使用例子，可以作参考学习(The example of CPLEX can be used for reference)

WannaCry勒索病毒，大家谨慎使用，后果自付。(WannaCry extortion virus is carefully used, with consequences paid.)

几个小东西呵呵 刚学的 agadgethrtjhsghtyw4tewert-several small things Oh just learning the agadgethrtjhsghtyw4tewert

说明：  解决Trace的比的问题，使得它可以达到类间最大化，类内最小化。对于分类问题作用广泛(Solve the problem of Trace ratio.So that it can achieve maximum class, minimized within the class. Widely used for classification problems)

c# 编写的俄罗斯方块游戏, 有音效和音乐(不过在有的机器上播放 mid 会出错...), 同时实现了 GDI+ 和 DDraw 两套呈现引擎. debug/release 目录中包含了运行时所需的资源.-c# prepared by the Russian box game. a sound and music (though in some machines will be broadcast mid mistake ...), while achieving the GDI and DDraw has two engines. debug/release contains a directory Runtime the necessary resources.

说明：  本程序体现在NI LabVIEW 环境里实现高速数据文件存储和回放. 当连续存储大量数据时,使用TDMS格式高效地将数据保存至tdms文件中. 在本例子中,数据来源可以是软件虚拟数据(无硬件情况),也可以使用NI DAQ多功能采集板卡采集真实的数据.(This procedure is reflected in NI LabVIEW environment to achieve high-speed data file storage and playback. When the continuous storing large amounts of data, using the TDMS format for efficient data saved to tdms file. In this case, the data source can be software, virtual data (non- hardware case), you can also use the NI DAQ multifunction analog input card collecting real data.)

说明：  利用Python，使用Arima模型对时间序列进行建模预测，结果中包含原始数据、建模全部代码以及预测结果可视化。(Using python, ARIMA model is used to model and predict time series. The results include raw data, modeling code and visualization of prediction results.)

详细说明如何管理mysql数据库用户