matlab学习教程 内容很基本，我也是转载的 对新手很有帮助，英文的，但是能听懂

用FDTD建立二维模型，再用matlab实现层析成像，显示目标电磁特性(diffraction tomography)

说明：  双向DAC仿真，可以稍作修改进行调整，即可使用。(Two-way DAC simulation, can be slightly modified to adjust, you can use.)

说明：  异步电动机矢量控制仿真模型，供大家参考学习(Induction motor vector control simulation model, for your reference)

this is matlab simulink simulation. it implies m-ary FSK with convolutional coding under AWGN channel.

SCE 的源代码，希望大家多支持..........................(SCE' s source code, I hope you will support ..........................)

利用双缓冲技术实现使得能用鼠标在桌面上轻松画取圆形，(The use of double-buffering technology makes the mouse can be used to easily draw on the desktop to take round,)

车牌识别系统 通过输入车牌图像，得到车牌号码识别信息(License plate recognition system Through the input vehicle images, get license number identification information)

基于DSB算法的调制与解调技术，在simulink平台的仿真实现(DSB modulation and demodulation techniques based algorithm, implemented in the simulation platform simulink)

量子蚁群优化算法，用于求解复杂优化问题~(Quantum ant colony optimization algorithm for solving complex optimization problems~)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。(Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators.)