APF

说明：  MIMO2发2收,采用波束成形技术的BER计算,采用的是BPSK调制,并和发射端未使用beamforming进行了比较(Script for computing the BER for BPSK modulation in a Rayleigh fading channel with and without transmit beamforming)

对于一幅彩色图像来说，可以对于三个通道进行分别梯度，然后选取最大值组成一幅梯度图像(color gradient matlab)

利用matlab平台，使用蒙特卡洛的方法模拟赌徒问题(Using matlab platform, the use of Monte Carlo simulation problem gamblers)

用于运动捕获数据降维后寻找极值点，可以找到极大值以及极小值点(Dimensionality reduction for motion capture data can be extracted extreme points, keyframe extraction or motion segmentation)

包含了目前常用的各种重采样算法的matlab代码，可直接在滤波算法中调用，不用修改。(Contains a variety of currently used resampling algorithm matlab code, can be directly in the filtering algorithm in the call, need not be amended.)

采用MATLAB编程，采用遗传算法求分段函数极值(Using MATLAB programming, using genetic algorithm for segmentation function extremum)

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.)

this file classify number an alphabet

doa算法，利用matlab进行达波方向的仿真程序,(doa suan fa cheng xu)

混沌相位图模型，利用matlab实现混沌相位，(The chaotic phase diagram model, using matlab to achieve chaotic phase,)