fushi

对于小样本而言，SVM的仿真效果要比神经网络好，但是SVM的性能依赖于它的两个训练参数，本算法是用GA自动选择SVM的两个参数。(For small sample case, SVM simulation results than the neural network is good, but the performance of SVM depends on its two training parameters, the algorithm is automatically selected GA parameters of SVM-2.)

经典书籍MIMO Signals And Systems的源代码(Classic books MIMO Signals And Systems source code)

可调Q因子小波变换，用在故障诊断中，程序中包含了原始TQWT工具箱和轴承振动信号信号的谱包络的求取等，最新的应用成果(Adjustable Q-factor wavelet transform used in fault diagnosis, the program includes a spectral envelope of the original TQWT toolbox and bearing vibration signal signal to strike, etc., the latest application of the results)

C++ base for beginer

说明：  传感器阵列波束优化设计与应用书籍的第五章natlab程序(Chapter 5 matlab program of book Sensor array beam optimization design and application)

先定义允许状态S={(x,y)|x=0或3,y=0,1,2,3 x=y=1,2}, 允许决策D={(u,v)|u+v=1,2},求dk<-D(k=0,1,2,…,n),使 状态Sk<-S按照状态转移律S(k+1)=S(k)+(-1)^k*dk,由初始状态 S1=[3,3]经有限步到达状态S(n+1)=[0,0].此为求解多步决策问题( First define to allow the state S = ((x, y) | x = 0 or 3, y = 0,1,2,3 x = y = 1,2), to allow the decision-making D = ((u, v) | u+ v = 1,2), seek dk < -D (k = 0,1,2, ..., n), so that state Sk < -S state transition in accordance with law S (k+1) = S (k )+ (-1) ^ k* dk, from the initial state S1 = [3,3] by the finite-step to reach the status S (n+1) = [0,0]. This is a multi-step decision-making problem solving)

说明：  P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩。。。(P0301: digital image matrix data display and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression. . .)

PSO算法简单、易实现、计算量小，而且PSO 对初始点依赖性不大，具有更强的全局优化能力，也能较快的的收敛于可接受解。这是改进的pso,请多多指教。(PSO algorithm is simple, easy to realize the advantages of a small amount of computation and computational efficiency, and PSO dependence of the initial point, with stronger global optimization capability, but also faster convergence to an acceptable solution. This improved pso, exhibitions)

计算光子晶体的能带投影图，为波导模的确定以及光子晶体薄板提供基础(calculated photonic crystals with projection to determine the mode waveguides and photonic crystal to provide the basic sheet)

本代码包括Music算法以及Root-music算法的仿真实现，对初学者大有裨益(The code includes Music algorithms and simulation Root-music algorithm of great benefit for beginners)