GA_matlab_M1

说明：  利用C#创建窗体，通过设置按钮，同时利用按钮实现各种功能。此代码实现的功能是1、调用函数；2、显示照片，同时还能消除照片；3、通过调用MATLAB，实现图像显示的函数。(Use C# to create a form, by setting the button using the button at the same time to achieve various functions. This code implements the function is 1, call the function 2, display photos, while eliminating photographs 3, by calling MATLAB, the function of image display.)

这些东西相信对作转子动静碰磨得同学有帮助，希望这个网站以后做的月来越好，更多的人来加油。(believe these things right for Rotor Aviation raw classmates help, I hope that this site later on to do better. more people to refuel.)

matlab编写鲁棒控制器建模与仿真实例，相信对初学者有帮助(the preparation of robust controller matlab modeling and simulation examples, I think it has to help beginners)

Clipping one of the PAPR Reduction technique

在matlab开发环境下，实现对直流电动机的仿真，研究其直接启动的特性(MATLAB development environment, the DC motor simulation, to study the characteristics of its direct start)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

说明：  求解随机动态规划的MATLAB程序，有需要的请下载(Solving stochastic dynamic programming)

说明：  先运用pca找到主要的影响变量，然后用rbf神经网络建模(First use PCA to find the impact of major variables, and then use the rbf neural network modeling)

利用matlab编写的kalman的实际应用例子程序，对学习kalman自适应滤波可以学习一下(using Matlab prepared by the Arch example of the practical application procedures Adaptive learning Kalman filter can learn from this)

Small signal stability analysis of a multi machine system