PATHLOSSMODEL

说明：  遗传算法求解多元函数最值源程序 遗传算法入门程序，求解一个六峰驼背函数的最小值，绝对经典(Genetic Algorithm multivariate function most value genetic algorithm source code entry procedures, a minimum of six peaks hump solving functions, absolute classic)

说明：  是对现有的时频分析方法中饭的S变换的综合和创新，有了新的间隔和改进，效果很好(It is the synthesis and innovation of the S-transform of the existing time-frequency analysis method. It has a new interval and improvement, and the effect is very good)

说明：  bp神经网络的模型训练与测试，并判断模型的可靠性。(Bp neural network model training and testing, and judge the reliability of the model.)

OMP 正交迭代匹配追踪算法。信号的稀疏解，用于信号的压缩(we are the world,we are the children,i used to be a better student.the matching pursuit meathered ok.how are you)

脑电信号的复杂度计算，有文档和多个matlab程序实例(EEG complexity calculation, there are documents and multiple instances of matlab program)

汽车动力性，燃油经济性计算,基于MATLAB计算的，汽车理论相关内容。(Automotive power, fuel economy calculation)

code of Peak Signal-to-Noise Ratio

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!)

MATLAB5的入门和应用，虽然版本有些老，但对于Matlab一些基本和经典用法并没有变，适合初学者参考(MATLAB5 entry and applications, although the version of some old, but some of the basic and classic use of Matlab, and has not changed, suitable for beginners reference)

基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列(Basic recursive least squares estimation algorithm and M series)