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扩频通信系统仿真 ——系统将基带信号（即信息）的频谱扩展至很宽的频带上，然后再进行传输，即将欲传输的信息数据用伪随机序列编码调制，实现频谱扩展，然后通过信道编码发送出去；接收端采用与发送端完全相同的伪随机序列作为本地解扩信号进行相关处理，以恢复信息，最后进行解调，完成整个系统的接收。(Simulation of spread spectrum communication system- the system baseband signal (ie, information) be extended to a wide spectrum of frequency bands, and then transferred, will want to use transmitted information data sequence of pseudo-random code modulation, to achieve expansion of the spectrum, and then sent channel coding receiver and transmitter use the same pseudo-random sequence as related to the local despreading signal processing, in order to restore the information, the final demodulation, the receiver to complete the system.)

Robot arm rotation. Rotation of 3 axial platform, simple task but it was fun. Play with it do whatever you want. Enjoy!!

Noise and Vibration Analysis

基于Davenport谱与谐波叠加法，生成脉动风速。(Based on Davenport spectrum and harmonic superposition method, generate pulsating wind speed.)

非常好的MATLAB学习书籍，图像处理.非常值得下载，一定能对用户有很大帮助。(A very good book to learn MATLAB, image processing. Well worth downloading certainly of great help to users.)

duffing混沌阵子系统的matlab仿真图。通过参数选择实现无噪声，白噪声，色噪声条件下的微弱信号检测。(duffing matlab simulation of chaotic time around the system map. Through the parameters to achieve,no noise, white noise, colored noise of the weak signal detection.)

最新的libSVM3.0版本，台湾林智仁团队编写的。(The newest version of livsvm toolbox)

三维体数据成像vol3d(源于matlab central)(function [model] = vol3d(varargin) )

Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as a minimization of problem of minimizing the total fuel cost of all committed plants subject to the constraints

An Evolutionary Routing Protocol for Dynamic Clustering of Wireless Sensor Networks