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-u"+u^2=x, 0<x<1 u(0)=0, u(1)=0

说明：  数学建模国赛2016年D题，风电场运行状况分析及优化(Mathematical Modeling National Competition 2016 D Question)

fisher线性分类代码。老师要我们自己做的，还不错哦(fisher linear classification code. Teacher wants us to make their own, and have a good oh)

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)

直方图均衡：原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而达到增强对比度的效果 中值滤波：中值滤波属于非线性平滑滤波器，它可以消除噪声又能保护图象的细节(histogram equalization : the original plan to transform the histogram in the form of uniform distribution. This will increase the value of the pixel gray areas so as to achieve dynamic contrast enhanced effect of filtering : Median filter is nonlinear smoothing filter, it can eliminate noise while preserving image details)

激光谐振腔中激光模式的仿真，包括不同腔型(Simulation of the laser mode in the laser cavity, including the type of cavity)

adaptive fir filter data generation

PDF aobut diferent book in electrical research for electrical student nd teacher

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)

本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的全英文说明(This tutorial provides a practical guide to using MATLAB, which is based MATLAB6.0 version of the content digest, especially for the book using the format of each command are detailed yet simple and clear instructions in English)