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详细阐述了设计通信网络仿真环境里的各个参数，如带宽，延迟，掉包率，等等因素，这里的网络包括了WLAN，3G以及各种业务所需的基本条件(Detail the design of communication network simulation environment, all parameters such as bandwidth, delay, substitution rate, among other factors, where the network includes a WLAN, 3G, and the basic conditions required for various services)

Matlab在电子信息课程中的应用。该书描述了在电子信息课程中matlab的一些用法。(Matlab courses in electronics and information applications. The book describes the courses in electronics and information of some use matlab.)

蒋庆堂先生大作。测试小波光滑性（Soblev指数)(Mr. Jiang Qingtang masterpiece. Test wavelet smoothness (Soblev index))

RUNME.m -- example using of the foregorund extractor. Nicholas R. Howe March 10, 2005. Please read copyright.txt ( RUNME.m-- example using of the foregorund extractor. Nicholas R. Howe March 10, 2005. Please read copyright.txt )

MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型(MIMO channel model for MIMO channel model MIMO channel model MIMO channel model for MIMO channel model MIMO channel model for MIMO channel model)

说明：  MATLAB视频图像考勤系统 该课题为基于MATLAB的摄像头的图像考勤系统。调用笔记本自带摄像头，从左侧进入为正1，右侧出去为负1，每统计到一个人数记为正负1.点击开始和点击结束为一个周期。带GUI界面。另外可定制二次开发基于图像的人数考勤系统。(Matlab video image attendance system The subject is the image attendance system of camera based on MATLAB. Call the camera equipped with the notebook, enter from the left as positive 1, exit from the right as negative 1, and record the number of each person counted as plus or minus 1. Click start and click end as a cycle. With GUI interface. In addition, it can customize the secondary development of image-based attendance system.)

英语的形态分析方面的论文和源码，采用word形式保存(Morphological analysis of English)

1.实现了最近点平分法的分类器 2.实现了基于凸函数最优解的分类器(1. The realization of the nearest point of the classifier equally Act 2. To achieve the optimal solution based on the convex function of the classifier)

时频分析的工具，完成时频分析，希望能够对大家有帮助，共同进步！(Time-frequency analysis tools, complete the time-frequency analysis in hopes of help, make progress together!)

说明：  改进的小波阈值去噪法，但是其中有点不对，不知道会不会对大家有用，想看的下哈(Improved wavelet threshold denoising method, but one a bit wrong, do not know will not be useful to everybody, want to see the next Ha)