shangnon

beam steering using planar arrays

mean absolute difference between two images

这是一个用liblinear进行分类的例子，需要有liblinear环境(Using liblinear to do classification task)

包含EM的介绍和对应的matlab程序.适用于初学者入门使用。(Includes the introduction and the corresponding EM matlab program. For beginner to use.)

dpsk调制解调及相应误码率计算。随机产生正弦信号并进行调制解调。(dpsk modem and the corresponding bit error rate. Randomly generated sinusoidal signal and modem.)

decription system photo

可以试试对毕业设计有没有中意的作用，做的是手势识别系统的设计，matlab中文论坛看到，可以试试(You can try the graduation design no favorite role, do gesture recognition system design, matlab Chinese forum to see, you can try)

说明：  hi image denoising.......it works like a charm

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.)

利用matlab工具编程播放一段卡农音乐，乐曲部分可任意修改(Programming using matlab tool plays a Canon music, song and part can be freely modified)