OSU-SVM

K_average聚类分析程序，包含多个子文件，适用于模式识别和聚类分析(K_average)

说明：  基于最小二乘法的曲线拟合，m文件带有仿真数据(Based on least squares curve fitting, m file with the simulation data)

说明：  使用最小错误率贝叶斯分类器对学生成绩进行分类(Minimum error rate using Bayesian classifier to categorize student achievement)

本程序对一维信号能实现快速分数阶傅里叶变换，并附有注释(The program for one-dimensional signal can achieve fast fractional Fourier transform, together with comments)

说明：  cca典型相关分析的多变量版本mcca，典型的一种盲源分离算法(Multivariate version of canonical correlation analysis)

LLE降维的源码，内有详细说明，供初学者学习(LLE dimensionality reduction of the source, with detailed instructions for beginners to learn)

feature selection algorithm

vb语言实现的卡尔曼滤波源程序源码 （没有测测试，输出部分要配合相应的过程） (the vb language Kalman filtering source source (not detected by the test, the output section with the corresponding process))

一个简单的图形用户界面，演示了从示波器如何检索和显示数据。(A simple graphical user interface, presentation on how to retrieve and display data from the oscilloscope.)

频谱选取，一般用于后续向量机的诊断的特征。进行了频谱分析后对每个频带的能量进行分离开。(Spectral selection, generally for subsequent diagnostic feature vector machine. Spectrum analysis conducted after the energy of each frequency band to leave.)