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power_SLmodeling.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_SLmodeling.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

说明：  matlab三维回旋仿真 使用了S函数，仿真时间300s，对于初学者有一定帮助(Matlab 3D gyration simulation uses s function)

说明：  分别使用库函数和自编函数实现AR模型谱估计 (Respectively, the use of library functions and the self-function AR model spectrum estimation)

[x,f]= L01p_e(c,A,b,N)用枚举法求解下列 0-1线性规划问题min f=c *x, s.t. A*x<=b,x的分量全为整数0或1, 其中N表示约束条件 Ax ≤ b中的前N个是等式，N= 0时可以省略。 返回结果x是最优解，f是最优解处的函数值。 ([X, f] = L01p_e (c, A, b, N) with the following enumeration method for solving linear programming problems 0-1 min f = c ' * x, st A* x < = b, x is an integer of all components 0 or 1, where N represents the constraints Ax ≤ b in the equation of the first N, N = 0 can be omitted. Return result x is the optimal solution, f is the function value at the optimal solution.)

说明：  基于SVM的文本无关说话人识别算法研究，本文在最后用Matlab程序实现了一个基于支持向量机的说话人识别系统试验平台。并根据对参试者进行的大量身份测试试验，总结系统的各方面性能和分析存在的问题，为进一步研究提供了方向和宝贵的经验。 (SVM-based text independent speaker recognition algorithm, the paper used in the final implementation of a Matlab program based on support vector machine speaker recognition system test platform. And tested based on the identity of those who carried out a large number of test trials, summed up the system performance and analysis of all aspects of the problems, provide a direction for further research and valuable experience.)

采用小波和ARMA模型对时间序列进行预测(Wavelet and the ARMA model to forecast the time series)

In mathematics, a Taylor series is a representation of a function as an infinite sum of terms that are calculated from the values of the function s derivatives at a single point.

PCA的步骤： 1 先将数据中心化； 2 求得的协方差矩阵； 3 求出协方差矩阵的特征值与特征向量； 4 将特征值与特征向量进行排序； 5 根据要降维的维数d’,求得要降维的投影方向； 6 求出降维后的数据； (PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4 eigenvalues and eigenvectors will be sorted 5 according to the dimension of dimension reduction d ' , seek to reduce the dimension projection direction 6, the data obtained after the dimensionality reduction )

tracker.m Continuously keeps taking snap in real time and sending to function isub for tracking isub.m It is a function which takes two consequent frames, subtracts them(background gets subtracted), converts the resulting image into binary, finds the centroid of largest area of connected pixels and marks it(tracks it) The code has been tested in MATLAB 7.6

关于用matlab求解薛定谔方程的求解探讨问题研究说明(With regard to solving Schrodinger equation using matlab for solving the problems addressed in studies to illustrate the)