matlab_shouce

何衍庆《控制系统分析、设计和应用——MATLAB语言的应用》(He Yanqing " Control system analysis, design and application- MATLAB language application" )

SVM的SMO算法实现，svm_train为训练函数，svm_predict为预测函数，按说明输入参数即可(The SMO SVM algorithm, svm_train of the training function, svm_predict to predict function, follow the instructions to input parameters)

MATLAB初学者很好的学习材料，讲解了最基本也是最重要的matlab知识。(A good learning material for matlab learners.)

BNB20 Finds the constrained minimum of a function of several possibly integer variables. ％ Usage: [errmsg,Z,X,t,c,fail] = ％ BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,...) ％ ％ BNB solves problems of the form: ％ Minimize F(x) subject to: xlb <= x0 <=xub ％ A*x <= B Aeq*x=Beq ％ C(x)<=0 Ceq(x)=0 ％ x(i) is continuous for xstatus(i)=0 ％ x(i) integer for xstatus(i)= 1 ％ x(i) fixed for xstatus(i)=2 ％(BNB20 Finds the constrained minimum of a fu nction of several possibly integer variables. % Usage : [errmsg, Z, X, t, c, fail] =% BNB20 (fun, x0, xstatus, xlb, xub, A, B, Aeq, Beq, nonlcon. settings, options, P1, P2, ...)%% BNB solves problems of the form : Minimize% F (x) subject to : xlb)

何光俞很早以前出版的Fortran源码集的程序代码部分(Ho Kwong Yu, published long ago set of Fortran source code section)

双正交小波包分解矩阵每一列数据，查看每一列的曲线图，重构小波包频段系数，计算小波包频段能量，小波包频段能量曲线图(Biorthogonal wavelet packet decomposition of the matrix of each column of data, to view each column graph reconstruction wavelet packet band coefficient to calculate the energy of the wavelet packet band wavelet packet band energy curve)

旋转不变算法--esprit，以《现代信号处理》（张贤达）书上所讲过程所写(Rotation invariant algorithm- esprit, to the "Modern Signal Processing" (Zhang XD) wrote the book talking about the process)

this is how we can usingmicrocontroller with gsm modem to giving command opening our door

说明：  用遗传算法做的图象融合，这是MATLAB源程序，希望对需要的人提供帮助！(using genetic algorithms do Image Fusion, which is MATLAB source, and I hope to provide those who need help!)

说明：  模糊聚类中的传统闭包法进行模糊等价矩阵的计算，中文解释清晰，可运行，是学习的好案例！(using this program to take fuzzy equilbrium matrix calculation, which is clear for learning fuzzy clustering.)