Emotion-Recognition

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

matlab平台ICA独立成分分析源代码。用法：[icasig,W] = Fasticadef(x) 输入量：x 输出量：icasig（独立成分），W（分离矩阵）(matlab platform independent component analysis ICA source code. Usage: [icasig, W] = Fasticadef (x) input: x output: icasig (independent component), W (separation matrix))

均匀线阵自适应波束形成MVDR算法的matlab实现(realization of DBF based on MVDR)

说明：  该程序是几何活动轮廓模型的matlab源代码.(active contour model matlab)

Maxicode 2D Barcode written in C. It is the latest version what I found.

GM(1,1)灰色预测,作为例子，可以很好地掌握灰色预测最基本的东西，希望对大家有用(GM (1,1) gray prediction, as an example, can be a good grasp of the most basic things gray forecast, we hope to be useful)

本程序针对一类不确定性非线性系统，利用输出反馈实现系统镇定，我用simulink做的一个仿真例子。(This procedure for a class of uncertain nonlinear systems using output feedback stabilization realize system, I used to do a simulink simulation example.)

均匀光纤光栅的特性分析有反射谱与透射特性(fiber grating analysis)

说明：  用简单迭代法求非线性方程f(x)=0有根区间[a,b]中的一个根 maiter 用途：用定步长高斯就积公式求函数的积分 magsint(w)

实现OFDM误码率曲线图的仿真,打开MATLAB软件，直接运行OFDM.M的那个文件就可以了(very good)