gauss_seidel

NNDemo2.0是对神经网络实验演示系统NNDemo1.0的进一步增强与扩充， 可以形象的演示各种网络模型的一些应用或性质，其中仿真例题是《人工 神经网络原理及仿真实例》教材中所有的例题。该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。如果你想 学习神经网络的Matlab仿真（编程），进一步提高自己的编程能力，下面的 文件说明可以帮助你很快的找到系统的每个源文件。 (NNDemo2.0 is a neural network system NNDemo1.0 experimental demonstration of the further enhanced and expanded)

数学建模训练时队里写得一些仿真拟合源代码，内有很多模板，可以参考一下，有tsp、神经网络等问题求解(Written a number of mathematical modeling training simulation fitting the source code, there are many templates, you can refer to, there tsp, neural networks, problem solving)

精密单点定位:精密单点定位程序，对于电离层、对流层、双频观测值改正等有较强的改正作用(very good!)

基于matlab的扩频通信系统仿真研究。主编：范伟，战兴群(Matlab-based spread spectrum communication system simulation. Editor-in-Chief: Wei Fan, Xing-Qun Zhan)

说明：  OMP algorithm to implement compressive sensing algorithms

It s a simulation system 802.16a3

frequency estimation using TLS ESPRIT

说明：  实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错(This is the program of image segmentation based on the following work: S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image Processing. Note that this program was only tested on 32-bit PCs installed with Windows XP or Windows Server 2003. Since the K-means algorithm used in this program is from Matlab Statistics Toolbox, the program runs slower than when a faster K-means algorithm is used which can be obtained at http://vision.ucsd.edu/~pdollar/toolbox/doc/. The program was tested using Matlab R14 and the image processing Matlab Toolbox is required to run it.)

Modified Gram-Schmidt (MGS)正交化法是利用已有正交基计算新的正交基。既能选择相关特征，又能排出已选特征对后续特征选择的影响。(Modified Gram-Schmidt (MGS)orthogonalization gives new orthogonal basis through original orthogonal basis. It can do the feature selection and eliminate the impact on choosing new feature vector by the selected one.)

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。(This program is the most basic particle swarm optimization algorithm and Matlab, very simple.)