MIMO-channel-capacity

％help avifile 可以把屏幕图片做成avi ％也可以用如下打开和播放avi ％ mv=aviread( 14.avi ) ％ movie(mv) ％ 指定源目录 str_src ％ 指定图片个数，PICNum( Help avifile can make avi screen images can also be used as follows to open and play avi mv = aviread (14.avi) movie (mv) specify the source directory specified str_src picture number, PICNum)

10*10正方形区域内4个锚节点k个随机未知节点的最小二乘定位法MATLAB源码(10* 10 square area within the four anchor nodes k least squares random unknown node location in MATLAB source)

电子血压计设计BOM Blood pressure cuff specification_BOM.zip(Electronic sphygmomanometer design BOM Blood pressure cuff specification_BOM.zip)

说明：  据理论中用于求取Jousselme证据距离案例(According to the case of Jousselme Evidence Distance in theory)

数值分析中的插值计算，包括梯形公式，Simpson公式，复化梯形公式，复化Simpson公式，(Numerical Analysis of interpolation calculation, including the trapezoid formula, Simpson formula, rehabilitation of trapezoid formula, rehabilitation of Simpson formula)

阵列信号处理中的常规波束形成。 原创。。。。。。。。(Array signal processing in conventional beamforming. Original. . . . . . . .)

说明：  卫星姿态确定的卡尔曼滤波，使用matlab 仿真的姿态确定(satellite attitude determination)

sliding mode control files for advanced control system

awgn fading 的mATLAB 代码(awgn fading of mATLAB code)

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.)