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时间序列的matlab的源代码，请大家参考一下，希望能给大家帮助(Matlab time sequence of the source code, please refer to the hope that we can help)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

提取小波脊线的crazy climber算法(Wavelet ridge extraction of crazy climber algorithm)

电力系统并网仿真实例，（无穷大电网-电机并网）(Power system and network simulation, (infinite grid- Motor Grid))

仿真为单相并网逆变器的仿真模型，使用matlab进行搭建，使用无差拍控制的方法，希望进行探讨(Simulation of single-phase grid-connected inverter simulation model using matlab to build, using deadbeat control, and I hope to explore)

this source code is very good

小飞机图像匹配（在模板中查找特点图像的位置）MatLAB编程(Small plane image matching (Find features images in the template position) MatLAB Programming)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

matlab有关的常见的图像显示，图像信息读取，图像加噪，图形去噪，图像增强等一系列基本matlab实验代码及原理(matlab on the common image display, image information read, the image plus noise, graphics denoising, image enhancement and a series of basic principles of experimental code matlab)

在MATLAB上运行，程序主要功能为改变输入图像的灰度和提取。(In MATLAB run, the program main function is to change the input image intensity and extraction.)