SAR

Timeline Ruler Control c# Component

说明：  齿轮动力学分析，计算动载系数，位移加速度等(Gear dynamics analysis to calculate dynamic load factor, acceleration, such as displacement)

说明：  在IntelliJ IDEA 2018.3.2 x64里面使用eclipse快捷键的全部快捷代码(the is IntelliJ IDEA 2018.3.2 x64eclipse thenk)

说明：  自动挖宝 自动荣丹·自动继承.刷法宝道法 自动吃武学丹/经验丹 自动吃吃天马红包 自动切糕·#Y自动改造·镶嵌· 自动刷帮不掉线， 自动过剧情((Automatic jewel and automatic inheritance. Brush the magic way of automatic eating martial arts Dan / experience Dan automatically eat Tianma red packet automatic ice cream. #Y automatic transformation. Automatic brush help do not drop the line,))

VB不使用控件操作摄像头程序，无控制的摄像头控制程序，虽然功能不算强大，但至少可以读取摄像头中的视频显示出来，做为一个简单的摄像头影像读取程序还是不错的。

将tiff转换成PDF的源程序-Source code that can convert tiff format to pdf format

说明：  对声呐接收到的信号进行解卷积，还原原始信号 仿真条件：假设有三条传播路径，海底反射、海面反射、直达波(The signal received by sonar is deconvoluted to restore its original signal. Simulation conditions: it is assumed that there are three propagation paths, bottom reflection, sea surface reflection and direct wave)

分析了永磁同步电机矢量控制的发展概况，然后从机电能量转换的角度出发，解释三相永磁同步电机的机电能量转换原理，推导拉格朗日运动方程。此外，列写出永磁同步电机在三相静止坐标系和dq坐标系下的数学模型。基于Simulink建立了转速电流双闭环矢量控制系统的仿真模型，通过对仿真结果分析，验证了永磁同步电机矢量控制系统性能的优越性(The development of vector control of permanent magnet synchronous motor is analyzed. Then, from the perspective of electromechanical energy conversion, the principle of electromechanical energy conversion of three-phase permanent magnet synchronous motor is explained, and the Lagrangian motion equation is derived. In addition, the mathematical model of the permanent magnet synchronous motor in the three-phase stationary coordinate system and the dq coordinate system is written. Based on Simulink, the simulation model of the speed and current double closed-loop vector control system is established. The simulation results are analyzed to verify the superiority of the performance of the permanent magnet synchronous motor vector control system.)

Tc2.0编写俄罗斯方块游戏-Tc2.0 prepared Tetris game

利用原算法adaboost弱学习器基于决策树桩的方法对样本数据进行多分类(Multi-classification of sample data based on decision tree stump using AdaBoost weak learner)