小波分析出基本的脑电频带并绘制功率谱

OMP算法的matlab的详细描述，对学习正交匹配追踪算法和稀疏分解是很有用的(the OMP algorithm is describled by matlab,and it is very useful for us to study OMP algorithm and sparse decomposition.)

脑电处理中，特征提取的几个有用算法程序，包括小波熵、LZC脑电复杂度、互信息等，以上程序，我已将亲自运行，可以通过，便于大家做脑电特征提取，希望对大家有帮助(EEG processing, feature extraction algorithm several useful programs, including wavelet entropy, LZC EEG complexity, mutual information, the above procedure, I have personally run, can facilitate you to do EEG feature extraction, in the hope that everyone has to help)

这是一本关于内核源代码分析的好书，希望能给大家带来益处(This is a core source code analysis on the books, we hope that they will benefit)

This program detetc the skin color and track using a web cam.

matlab code of watermarking

关于惯性导航技术中的一个小的利用四元数算法求解姿态的程序，简单实用(Inertial navigation technology on a small initial alignment procedures to achieve a calculated INS s initial posture)

用三种不同的Runge-kutta方法计算常微分方程(Runge-kutta for ODE)

电力系统稳定器 Power System Stablizer

针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

说明：  神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Particle Swarm Optimization, PSO )算法 第十一课 蚁群算法( Ant Colony Algorithm, ACA ) 第十二课 模拟退火算法( Simulated Annealing, SA ) 第十三课 降维与特征选择(Source code of 13 courses of neural network introduction)