82774918-System-Identification-Toolbox

电力电子、电机控制系统仿真模型 洪乃刚版本 经典实例原文代码(Power electronics, motor control system simulation model)

LMSE算法实现判断线性可分性和求分界向量(LMSE algorithm for linear separability judgment and seek demarcation vector)

采用小波分解系数阈值量化方法进行去噪处理的程序(Wavelet coefficients thresholding denoising procedures)

这是某一风电场从1965年到2006年的实测风速数据。希望对大家有帮助。(This is a wind farm 1965 to 2006 measured wind speed data. I hope everyone has to help.)

这是学习编程很好的书籍，值得参考和学习哦，很实用，很详细(This is a very good book to learn programming, it is worth for reference and learning Oh, very practical, very detailed)

Tournoment selection

关于随机数生成的的源代码，matlab编写的，值得收藏，欢迎大家踊跃下载，为中国的科研事业做贡献(About random number generator of the source code, matlab prepared and worthy of collection, enthusiastically welcomed the U.S. download, in order to make China' s contribution to the cause of scientific research)

该程序可以方便的求解出钢丝绳漏磁检测信号的自相关性(work out the self-relevent of wire rope signal)

本文为MATLAB一篇详细的教程，看完之后入门应该会容易的多(This article gives a detailed tutorial MATLAB, after reading the entry should be much easier)

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction