my_code

SVM程序用于小样本分析，模式识别。用于Matlab的平台。(SVM procedures for small samples for analysis and pattern recognition. Matlab for the platform.)

simulink basic example of second order differential equation

最新版psat，支持win10 matlabR2016A 附带安装教程 手册为老版中文版，英文版手册不必提供。(just for study)

Rigol示波器保存的图片处理程序，将背景转换为白色，将两通道数据合并(figure process for RIGOL osc)

matpower作电力系统潮流分析,故障计算，市场交易、运行调度等(power ananlysis)

用matlab编写的影像处理中的加法和减法。(Prepared using matlab image processing of addition and subtraction.)

介绍在优化设计中的一些常用方法，如遗传算法等(Introduced to optimize the design in some of the commonly used methods, such as genetic algorithms, etc.)

K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

重要参数的提取，是本科毕设的题目，可以实现模式识别领域的数据的分类及回归，进行逐步线性回归，构成不同频率的调制信号，正确率可以达到98％，在MATLAB中求图像纹理特征。( Extract important parameters, The title of the commercial is undergraduate course you You can achieve data classification and regression pattern recognition, Stepwise linear regression, Constituting the modulated signals of different frequencies, Accuracy can reach 98 , In the MATLAB image texture feature.)

In computer vision, the Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade. It assumes that the flow is essentially constant in a local neighbourhood of the pixel under consideration, and solves the basic optical flow equations for all the pixels in that neighbourhood, by the least squares criterion.