qam_MATLAB_simulation

基于matlab 的模拟退火算法源程序，经典算例，有PDF说明。(Based on the simulated annealing algorithm matlab source, the classic example, a PDF note.)

P-MAC协议的实现的matlaB代码，测试可用(P-MAC protocol)

脉冲多普勒雷达接收信号，进行快速傅里叶变换，并进行分析，最后输出图形。最简单的原创(Pulse Doppler radar, the received signal, fast Fourier transform, and analyze the final output graphics. The most simple and original)

matlab与mas系统的结合 设计了多智能体的合作与竞争机制 效果还不错(The combination with the mas matlab system designed multi-agent cooperation and competition results were pretty good)

amplitude modulation

磁流变减震器模型，bouce_wen经验模型(Magnetorheological damper model)

使用matlab编写了SOM算法的实现过程，包括训练过程代码，代码简洁，运行稳定。(Matlab prepared using SOM algorithm implementation process, including the training procedure code, the code is simple, stable operation.)

实际上，这上面有图像的matlab处理，JAVA的图像处理和VC++ 的图像处理。非常有价值的。呵呵(In fact, there are images that matlab processing, JAVA image processing and VC++ for image processing. Very valuable. Ha ha)

MATLABä -the tremendously popular computation, numerical analysis, signal processing, data analysis, and graphical software package-allows virtually every scientist and engineer to make better and faster progress. As MATLAB s world-wide sales approach a half-million with an estimated four million users, it becomes a near necessity that professionals and students have a level of competence in its use. Until now, however, there has been no book that quickly and effectively introduces MATLAB s capabilities to new users and assists those with more experience down the path toward increasingly sophisticated work. Basics of MATLAB and Beyond is just such a book. Its hands-on, tutorial approach gently takes new users by the hand and leads them to competence in all the fundamentals of MATLAB. Then, with equal effectiveness, it covers the advanced topics that lead to full, creative exploitation of MATLAB s awesome power.

有信道编码，调制，信道估计等，光纤陀螺输出误差的allan方差分析，包括主成分分析、因子分析、贝叶斯分析。( Channel coding, modulation, channel estimation, allan FOG output error variance analysis, Including principal component analysis, factor analysis, Bayesian analysis.)