refd-raida-pdf

图像变化检测算法，由t检验得到差分图像的变化掩膜。左后成功检测到图像中运动的物体。(Image change detection algorithms have been tested by the t change difference image mask. Left a successful campaign to detect objects in images.)

请大家帮忙看看问题出在哪里,a0、a1、a2还可以，A3以后就不对了(Matlab computing applications lamb wave dispersion curves, group velocity and phase velocity calculation.)

OFDM发送端程序集合，比较详细的各个部分，希望对大家有帮助(OFDM transmitter collection procedures, the various parts of a more detailed, in the hope that we have to help)

相位衬度成像中恢复算法经典程序，MATLAB环境，(Phase-contrast imaging procedures to recover the classical algorithm, MATLAB environment,)

关于特殊函数计算的的源代码，matlab编写的，值得收藏，欢迎大家踊跃下载，为中国的科研事业做贡献(About the special function of the source code, matlab prepared and worthy of collection, enthusiastically welcomed the U.S. download, in order to make China' s contribution to the cause of scientific research)

应用matlab产生多频带超宽带信号（已经运行通过）(Application matlab multi-band UWB signal generated)

最经典的Matlab书籍，我们学习都用它可以做工具书，很全的(Matlab and classic books, we can learn to do it can use reference books, it is the whole of)

matlab编写的小游戏，很像“闪电”，版本要求高于R(matlab prepare small games, like )

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

Matlab Primer language 2011