dct

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.)

说明：  matlab程序设计。对初学者很有帮助，非常容易理解。(matlab programming. Very helpful for beginners, very easy to understand.)

Bilateral band modulation and single sideband modulation Simulink Simulation Module

three level diode clamped D Csource Testing

隐马尔科夫的源程序，主要用于模式识别中，也可用于其它(Hidden Markov source, is mainly used for pattern recognition can also be used for other)

MATLAB6实践与提高，超星pdg格式，中国电力出版社(Practice and improve MATLAB6, Chaoxing PDG format, China Electric Power Press)

2 gaussian random variable generation and plotting using matlab code

Cleve Moler的MATLAB教材Numerical Computing with MATLAB和代码，介绍MATLAB数值方法入门，计算技巧的教材。(Numerical Computing with MATLAB is a textbook for an introductory course in numerical methods, Matlab, and technical computing.)

calculating GLCM texture, based on matlab platform

改进包络法去除 emd 端点效应 改进包络法去除 emd 端点效应(improve envoy)