frft

这三个小程序都是matlab的.m文件，分别实现用灰度变换的方法增强图像的对比度和直方图均匀化，模拟图像受高斯白噪声和椒盐噪声的影响。(The three procedures are Matlab. M documents, were used to achieve gray transform method to enhance the contrast of the image and histogram equalization. Simulation images by white Gaussian noise and the noise of Salt and Pepper.)

说明：  单周期控制的软开关无桥升压PFC电路的研究(Soft Switch One Cycle Control bridgeless boost PFC circuit)

matlab编程，英文版的，既可学些matlab知识，又可以锻炼英文阅读能力。(matlab programming, English, and can learn some matlab knowledge, but also the training in English reading skills.)

machine learning algorithm

基本图像处理，包括灰度处理、二值化处理、加噪声、去噪声、边缘提取等功能。(Basic image processing, including gray-scale processing, binarization processing, plus noise, to noise, the edge extraction function.)

matlab code of 普朗尼算法 以及 doc文件

code for mppt perturb and observe algorithm

变频调速系统仿真搭建模型 由于观测仿真波形 记录以及分析实验结果(Variable speed control system simulation build the observation model simulation and analysis of experimental results wave record )

本文是关于无功补偿器的一种控制方法，是基于模型预测控制的，本文作者有两篇关于这个问题的论文，这一篇比较详细，可以作为了解statcom的预测控制的材料。(This article is about the kind of reactive power compensation control method is based on the model predictive control, the authors have two papers on the subject, this one in more detail, can be used as material to understand statcom predictive control.)

说明：  利用在 MATLAB Simulink 中的 SimMechanics 工具箱，在 Matlab 中搭建了机器人的机构模型，结合运动学数学模型，实现的机器人的运动模拟实验，并且通过末端执行器输入运动参数与输出运动参数的对比，验证了所建立的运动学模型的正确性。最后根据机构的实际限制条件，限制了两个主动臂的最大转动角度，结合正向运动学模型，得到了整个机器人末端执行器的极限运动位置坐标以及整个运动空间(Using the SimMechanics toolbox in MATLAB Simulink, the mechanism model of the robot is built in MATLAB. Combined with the kinematics mathematical model, the motion simulation experiment of the robot is realized. The correctness of the kinematics model is verified by comparing the input and output motion parameters of the end actuator. Finally, according to the actual constraints of the mechanism, the maximum rotation angle of the two active arms is limited. Combined with the forward kinematics model, the limit motion position coordinates and the whole motion space of the end effector of the whole robot are obtained)