车牌识别

对模型进行三维成像，向量化三维成像和压缩感知三维成像(Three dimensional imaging, vectorization 3D imaging and compressed sensing 3D imaging are performed on the model.)

Mandala File design used also in photoshop

whook, nao posso escrever mais porque nao entendo chines e os campso vao ficar assim mesmo ta bom, entao ta, valeu falou vou fumar, olha ali o superman, no ceu tem pao e morreu.

PID控制列车速度跟踪，使其实际速度曲线跟踪目标速度曲线(PID control of train speed tracking)

八木天线在HFSS中的仿真设计，效果还算不错(Yagi antenna design and simulation)

说明：  CF活动助手成品 可自定义名字 修改配置文件 引流(CF Activity Assistant Product can customize name to modify configuration file drainage)

实现简单计算，用户可以进行拓展那功能能。。。。(Implementing Simple Computing)

车牌识别定位程序的部分功能，包括随机梯度算法，相对梯度算法，wolf 方法计算李雅普诺夫指数。( Part of the license plate recognition locator feature, Including stochastic gradient algorithm, the relative gradient algorithm, wolf calculated Lyapunov exponent.)

程序主要包括：1．MyInit.m 数据初始化 输出参数： XTrueZ 目标真实轨迹 Z0 目标观测值 T 采样周期 Q 系统误差阵 DeltaR 距离误差 DeltaSita 方位角误差 DeltaBeta 俯仰角误差 totaltime 运动时间 montimes 蒙特卡罗仿真次数 2． EKF.m [Z1]= EKF Z1: 输出EKF滤波后结果 3. CMKF.m [Z2]= CMKF Z2: 输出CMKF滤波后结果 4. GetR.m CMKF算法中误差阵R的计算 5． CompareEandC.m EKF和CMKF、最小二乘滤波后结果比较 部分绘图代码不全，具体结果请参见 信号实验作业.doc 文档 6．source.m 产生带野值的数据 7. RemoveWilddata.m 野值剔除算法 (Procedures will include: 1. MyInit.m initialization data output parameters: XTrueZ target the real target trajectory Z0 sampling period T observed value Q system error array DeltaR distance error DeltaSita azimuth error DeltaBeta pitch angle error totaltime exercise time montimes the number of Monte-Carlo simulation 2. EKF.m [Z1] = EKF Z1: Output EKF filtered results 3. CMKF.m [Z2] = CMKF Z2: Output CMKF filtered results 4. GetR.m CMKF algorithm for the calculation of error R array 5. CompareEandC.m EKF and CMKF, least-squares filtering Comparison of part of the drawing code after the failure, specifically the results of experimental work, see the signal. Doc document 6. source.m generate the data with outliers 7. RemoveWilddata.m outliers removed Algorithm)

说明：  C8051F USB Audio Class