资料

ESPRIT算法，MUSIC算法，一阶前向预测算法比较(ESPRIT algorithm, MUSIC algorithm, first-order forward prediction algorithm comparison)

《matlab6.5辅助图像处理》源代码()

Power method of solution for highest/lowest eigen value.

matlab数字信号处理，包括基础的信号创建，滤波器的设计，以及系统的构架等基础知识(Matlab digital signal processing, signal includes basic creation, filter design, basic knowledge and system architecture )

Boost程序库完全开发指南,学习boost的必备，初学者最好看一看(Boost library fully developed guidelines, learning the necessary boost, take a look at the beginner)

Another system identification toolbox user guide.

获取apk版本号,内带需要jar包。 经过测试可以使用。(get apk version)

这是一个用matlab编的模仿Linux下的radar屏保动画,很有意思,和大家分享,(This is an addendum to the use of Matlab imitate Linux Screen Saving under the radar animation, very interesting, and to share with you,)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

基于matlab含风电配电网的潮流计算配有ieee30节点配电网(Power flow calculation based on MATLAB wind power distribution network)