SecretariaLoira100

MATLAB finite element code I

matlab小波分析程序，使用拉亚普诺夫指数的公式，是本科毕设的题目，验证可用，可实现对二维数据的聚类，实现典型相关分析。(matlab wavelet analysis program, Raya Punuo Fu index using the formula, The title of the commercial is undergraduate course you Verification is available, Can realize the two-dimensional data clustering, Achieve canonical correlation analysis.)

该算法实现了ICA,PCA的过程监测及故障诊断(The algorithm of the ICA, PCA in process monitoring and fault diagnosis)

公式法产生任意均值、方差和长度的高斯白噪声(Formula method produce any mean, variance and the length of the Gaussian white noise)

对于模式识别中的k均值（也称c均值）问题，给出了matlab实现。(pattern recognition for the k-means (also called c-means), is the realization of Matlab.)

子空间辨识，随即输入，根据算法算出系统矩阵( Subspace Identification for Linear Systems)

一个matlab工具：序列子空间优化方法，常被移植在人脸识别，信号处理等领域。 (SESOP_PACK: Matlab Tool for Sequential Subspace Optimization methods )

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

source code for different probability questions

一种简单的模型降阶算法，具体为平衡实现算法，希望对你们有用。(A simple model reduction algorithms, specifically balancing algorithm, hope helpful for you.)