WC-CCM

程序模拟的是潜水艇这类大的铁磁性材料穿过海域对电磁场（地磁场）带来的变化以及如何通过物理手段消除这种变化(Program to simulate the submarine through the ferromagnetic material of such a large area of electromagnetic fields (magnetic field), and how the changes brought about this change through physical means to eliminate)

用于生成陈吸引子的程序，可以生成三视图和一个三维吸引子图(used to produce Chen attractor procedures can generate three and a 3D View attract subgraph)

牛顿拉夫逊法编制的潮流计算程序，很实用，是很好的学习资料(Newton-raphson method of power flow calculation program, very practical, is a very good learning materials)

Real time data viewer for stock (Matlab file)

流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)

语音识别，有数字0到9个音频文件，任选一个，程序会识别出来(Speech recognition, 0-9 digital audio files, choose one, the program will be identified)

说明：  详细介绍了Matlab中图像处理函数的使用方法，并包含示例。(described the use of image processing functions in Matlab, including examples.)

一个利用彩色分割方法定位汽车牌照的程序，适用于蓝色牌照。(Positioning using color segmentation of a motor vehicle license process for the blue license.)

Matlab ebook introduction with application

说明：  利用计算机编程实现加性干扰信号的维纳滤波。将计算机模拟实验结果与理论分析结果相比较，分析影响维纳滤波效果的各种因素，从而加深对维纳滤波的理解。(computer programming additive interference signal the Wiener filter. Computer simulation results with the theoretical results of the analysis, compared Wiener filtering analysis on the factors that effect, so as to enhance the understanding of the Wiener filter.)