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Matlab实现FFT变换代码（包括单边谱及双边谱）(Matlab realization of FFT transform code (including unilateral and bilateral spectrum spectrum))

最新的libSVM3.0版本，台湾林智仁团队编写的。(The newest version of livsvm toolbox)

Estimated number of Pi ( Method 1) how do we estimate Pi by simulation? In the simulation, you keep throwing darts at random onto the dartboard. All of the darts fall within the square, but not all of them fall within the circle. Here s the key. If you throw darts completely at random, this experiment estimate the ratio of the area of the circle to the area of the square, by counting the number of darts in each. Our study of the geometry tells us this ratio is Pi/4. So, now we can estimate Pi as

optisystem13相干通信的例子，非常实用，已经验证过！(Optisystem13 coherent communication examples, very practical, has been verified!)

this file is to play a wave music creating musical notes and transform to a timbre of an instrument

说明：  图论算法及其MATLAB 程序代码 1.求赋权图G = (V, E , F )中任意两点间的最短路的Warshall-Floyd 算法、Kruskal 避圈法 2.求二部图G 的最大匹配的算法(匈牙利算法)、利用可行点标记求最佳匹配的算法 3.从一个可行流f 开始, 求最大流的Ford--Fulkerson 标号算法 6.(Graph Theory Algorithm and MATLAB program code 1. Seeking weighted graph G = (V, E, F) in the shortest path between any two points of the Warshall-Floyd algorithm, Kruskal avoid the circle method 2. Seeking the maximum bipartite graph G matching algorithm (the Hungarian algorithm), using feasible point mark seeking the best match algorithm 3. a feasible flow f from the beginning, find the maximum flow of the Ford- Fulkerson Labeling Algorithm 6.)

空时正交编码源程序，参考文献： V.Tarokh,H. Jafarkhani,and A. R. Calderbank "Space-Time Codes from ％Orthogonal Designs",IEEE Trans. Inform. Theory VOL. 45,NO. 5,JULY 1(orthogonal space-time coding source, References : V. Tarokh, H. Jafarkhani. and A. R. Calderbank, "Space-Time Codes from Or% thogonal Designs " IEEE Trans. Inform. Theory VOL. 45, NO. 5. JULY 1)

Long terem eveloultion...LTE-A

matlab实现的节拍感知音乐工具。可以感知较有节拍规律的一小段音乐的节拍。可以当做matlab基础实验的理想练习材料(beatTrackMaster using Matlab)

此资料可以为matlab初学者提供良好的理论指导。( The material can provide theoretical guidance for matlab beginners.)