erciyangtiao

国外的经典的有关于凸优化数学方面的教材，值得研究有关优化方面的研究者学习(Classic abroad on convex optimization mathematics textbooks, it is worth to study the optimization of the researchers studying)

先进PID控制中的积分分离PID算法源程序(Advanced PID control integral separate PID algorithm source code)

该程序为BPSK调制的MATLAB源代码，首先通过仿真得到信号源，再进行调制(The program for the BPSK modulation MATLAB source code, first get the signal source through simulation, then modulate)

通信系统仿真--具有瑞利分布的随机序列，pn序列及其他仿真程序(Communication System Simulation- Rayleigh distribution with the random sequence, pn sequence and other simulation program)

内容为《MATLAB实用指南系列》各书用到的部分程序。包含MATLAB_syjc，MATLAB_gcsx，MATLAB_txtx，MATLAB_gjbc等4个目录。 MATLAB_syjc目录下为《MATLAB实用教程》用到的部分程序。 MATLAB_gcsx目录下为《MATLAB工程数学》用到的部分程序。 MATLAB_txtx目录下为《MATLAB图形图像》用到的部分程序。 MATLAB_gjbc目录下为《MATLAB高级编程》用到的部分程序。 所有程序均通过调试。环境为MATLAB 7.0, Visual Basic 6.0, Visual C++ 6.0, Excel 2000, SPSS 12.0, Windows 2000。(Says " MATLAB Practical Guide Series" of the book used some of the procedures. Contains MATLAB_syjc, MATLAB_gcsx, MATLAB_txtx, MATLAB_gjbc directory, etc. 4. MATLAB_syjc directory for " MATLAB Practical Guide," used some of the procedures. MATLAB_gcsx directory for " MATLAB Engineering Mathematics" used in some of the procedures. MATLAB_txtx directory for " MATLAB graphics images" used in some of the procedures. MATLAB_gjbc directory for " MATLAB high-level programming" used some of the procedures. All through the debugging process. Environment MATLAB 7.0, Visual Basic 6.0, Visual C++ 6.0, Excel 2000, SPSS 12.0, Windows 2000.)

介绍了系统辨识与自适应中的matlab程序，是学习系统辨识与自适应的好例子(Introduced a system identification and adaptive procedures in matlab)

关于粒子群算法的相关论文，共有文章17篇，可供有兴趣的朋友研究讨论(Particle Swarm Optimization on the relevant papers, a total of article 17, interested friends for study and discussion)

MP8126 550mA, 8V-to-14V Input, LNB-Power Supply and Control-Voltage Regulator

Matlab based Radio Resource Management for Wireless Networks. Normalized enteries calculated in matrix.

说明：  梯形法求数值积分和simpson法求数值积分以及gauss-lengendre法求数值积分(Trapezoidal method seeking numerical integration and simpson Method the numerical integration the gauss-lengendre Method numerical integration)