kpca

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.)

digital processing in matlab

用Matlab实现最短路径dijkstra算法(Using Matlab to achieve the shortest path dijkstra algorithm)

线谱增强器，用于单频信号检测的线谱增强。(Line spectrum enhancer for the single-frequency signal detection to enhance the line spectrum.)

在matlab 中 利用lab hsv rgb 三种空间分别对一个图形进行增强 处理 (In the use of matlab three lab hsv rgb space, respectively, of a graphics processing to enhance)

C语言编的简单遗传算法程序 各项功能齐全(SGA-simple Genetic Algorithm)

QUIRE算法用于主动学习，通过信息询问和代表样本来实现。(QUIRE is a package for active learning by querying informative and representative examples. )

Bankers algorithm is used to allocate resources to the processes and find whether they are in safe state or not.

matlab code to read images

在Simulink中，使用变结构控制（滑膜控制）方法对系统进行控制。(In Simulink, variable structure control (sysym control) is used to control the system.)