SIFT

一个matlab聚类分析工具包，简单好用(a matlab clustering toolbox)

三结点三角形单元有限元计算程序 matlab编程(Three-node triangular element finite element program matlab programming)

说明：  三维双凹激光振荡，采用菲涅尔衍射和fox-li方法，得到两维幅度和相位输出。(Three-dimensional double-concave laser oscillation, using Fresnel diffraction and the method of fox-li, the two-dimensional amplitude and phase output.)

matlab code for data encryption and decryption using rsa algoritham

话务量分析预测Erlang C公式，话务量，出线容量，阻塞率，三者关系。ErlangC分析的GUI界面。(Communication traffic analysis theory of traffic analysis and forecast Erlang C formula, traffic, outlet capacity, blocking rate, the relationship among.)

MATLAB讲义，适合初学者，简单明了,包含全面(MATLAB lecture notes, suitable for beginners, simple, includes comprehensive)

在自动控制系统的过程中，白噪声的产生方法，MIT 稳定方程 持续时间 稳定时间(The automatic control system of the process, the white noise generation method, MIT stabilization stabilization time duration equation)

WS_net WS小世界网络，运行无错误，推荐下载！(WS_net WS small-world networks, error-free operation, it is recommended to download!)

image compression algorithm

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )