tikz

多分辨率平滑图像去噪算法的例程,主要包括小波域的sar图像处理算法（matlab）(Multi-resolution image denoising smoothing algorithm routines, including wavelet domain sar image processing algorithms (matlab))

基于buck变换电路的双闭环超级电容器充电电源MATLAB仿真模型，控制器采用PI调节，恒流控制充电，效果良好(MATLAB SIMULINK model，Based on buck transform circuit, the double closed loop capacitor charging power supply ，controller PI adjustment, the constant current charge control，The result is good)

fastICA algorithm,blind signal processing helpful

COM Builder _1_ demo(COM Builder demo)

构建三维点云，用不同颜色创建三维散点图的方法的实现(Achieve the creation of three-dimensional scatter plot with different colors methods)

用kalman滤波算法仿真实现2自由度机器人对目标的跟踪（demo2忽略了Jt，demo3包含可Jsita和Jt，估计总雅可比矩阵J的kalman滤波）---机器人视觉伺服(Simulation kalman filter algorithm with 2 degrees of freedom robot target tracking (demo2 ignored Jt, demo3 contains Jsita and Jt, the total estimated Jacobian matrix J of the kalman filter)--- robot visual servo)

画正弦和余弦任意幅度，频率，初相位三角函数图gui(Draw any sine and cosine amplitude, frequency, initial phase trigonometric graph gui)

极坐标系下电力系统潮流计算Matlab版源程序(Matlab version of the source of power flow calculation in polar coordinates)

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

很多经典的粒子群算法的matlab程序，智能计算方面的(Many classical PSO algorithm matlab procedures, intelligent computing)