fangbo

说明：  sift特征匹配代码，并带有相关说明文档(SIFT feature matching code with relevant documentation)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

可用此代码直接在matlab中求功率谱密度，程序已调试过，没有问题(This code can be used directly in matlab and seek the power spectral density, the program has been debugged, there is no problem)

使用matlab分析传统光学系统中加入三次相位掩模板之后其点扩散函数的焦点偏移(Analysis using matlab conventional optical system by adding three phase mask after the point spread function of its shift in focus)

lua学籍的圣经，非常清晰，带目录，无任何字体模糊的地方。(lua school Bible is very clear, with a table of contents, without any font ambiguities.)

Este es un Sistema MDS

本文档对MATLAB仿真做了详细全面的介绍，适合初学者学习使用(This document is a detailed simulation of the MATLAB comprehensive introduction for beginners to learn to use)

Perceptron implementation with rules of Least Square on the classifier loop, highly comented in portuguese. Very useful!!

The TSP problem ant colony algorithm MATLAB source code

说明：  基于LQR和PID的倒立摆小车控制，希望有需要的人能用到(Based on the control of the inverted pendulum trolley based on LQR and PID, I hope that those in need can use it)