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这是机器学习的一个经过整理的UCI数据集，适合与初学者使用！( This is a machine learning through the finishing of the UCI data set, suitable for beginners to use! )

PCA(Principal Component Analysis)预处理和最近邻分类程序(the code of Principal Component Analysis)

This is the frank_wolfe algorithm for order 3.

一本关于matlab入门不错的书籍， (Getting Started on a matlab good books,)

使用小波包变换分析两个信号的特征向量和各频率成分的功率谱(the analysis of two signals eigenvector and power spectrum using wavelet-packet transform)

一个神经网络的M生成程序和SIMULINK模型(a neural network Generation M procedures and Simulation Model)

基于matlab的数字图像处理，实现灰度调整等功能(digital image processing)

基于时间序列法的风电预测matlab程序，可根据已知数据预测未来的风电功率。(Method based on time series prediction matlab program for wind power, according to known data to predict the future wind power.)

PSP算法，用于信道的系数估计和均衡，此处是基本的算法实现(PSP algorithm, the coefficient for channel estimation and equalization, here is the basic algorithm)

支持向量机(SVM)实现的分类算法源码[matlab](Support Vector Machine (SVM) classification algorithm to achieve source [matlab])