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Matlab数字信号处理工具箱 MATLAB已带有数字信号处理工具箱，但不少数字信号处理学者又发展出一些数字信号处理的函数，例如我们会常用到ideal_lp、Hr_type1、dft、idft、Circonvt、freqz_m，...等等，《数字信号处理---使用MATLAB》一书提供了这样的工具箱，内容如附图，工具箱在附件中。(Digital Signal Processing Toolbox Matlab)

4D可视化程序，非常适合初级学者。很好的参考资料，期待共同进步(4D visualization program, is ideal for junior scholars. A good reference, look forward to progress together)

hopfield network for neural network

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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 (a toolbox : LS_SVMlab Classification_LS_SVMlab.m-over classification Regression_LS_SVMlab.m-function fitting 2, toolbox : OSU_SVM3.00 Classification_OSU_SVM.m-over classification 3, toolbox : stprtool svm Classification_stprtool.m-over category Categories 4, toolbox : SVM_SteveGunn Classification_SVM_SteveGun n.m-II classification Regression_SVM_SteveGunn.m-fitting function)

一个对信号进行滤波（低通、带通、高通）的教学实验数据处理演示程序。(Matlab demo program of signal filtering for instruction experiment.)

  最小费用最大流算法通用Matlab函数 基于Floyd最短路算法的Ford和Fulkerson迭加算法   基本思路：把各条弧上单位流量的费用看成某种长度,用Floyd求最短路的方法确定一条   自V1至Vn的最短路 再将这条最短路作为可扩充路,用求解最大流问题的方法将其上的流   量增至最大可能值 而这条最短路上的流量增加后,其上各条弧的单位流量的费用要重新   确定,如此多次迭代,最终得到最小费用最大流.( Minimum cost maximum flow algorithm for general Matlab functions based on the Floyd shortest path algorithm of Ford and Fulkerson superposition algorithm of the basic ideas: the cost of unit flow on the arc as a certain length of Floyd for the most short-circuit method to determine the one percent V1 through Vn are the most short-circuit then this short circuit as a scalable road, a method for solving the maximum flow problem on flow increased to the maximum possible value that the shortest way increased traffic, the cost of unit flow on each arc sure, so many iterations, the final minimum cost maximum flow.)

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支持向量机导论 matlab中支持向量机算法的入门级经典教材(Introduction to matlab support vector machine support vector machine algorithm is the classic entry-level teaching materials)

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