MATLAB

基本遗传算法,RBF神经网络算法,BP神经网络算法,一共5个源代码.程序可移植性强.(Basic genetic algorithm, RBF neural network algorithm, BP neural network algorithm, a total of 5 source code. Program portability strong.()

根据有无固定基础设施，无线局域网又可分为BSS (Basic Service Set)和IBSS (Independent Basic Service Set)。我们要研究的ad hoc网络属于后者。假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (According to the availability of fixed infrastructure, wireless local area network can be divided into BSS (Basic Service Set) and IBSS (Independent Basic Service Set). We have to study the ad hoc network belong to the latter. Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

基于Matlab的多孔算法提取图像边缘,可以更好地提取图像边缘(Edge extraction porous algorithm based on Matlab)

Introduction to kinematic of artificial satellite

ROC curve enjoy it....

说明：  柯恩类时频分布演示例程，实现信号的二次型时频分布(Cohen Class Time-Frequency Distribution demo routines to achieve signal-quadratic time-frequency distribution)

详述了一些关于matlab中怎样应用模糊控制的材料，介绍了关于模糊控制的一些应用(Details about how the application of fuzzy control in matlab material presented on the correlation function of fuzzy control)

Two quardrand chooper, four quardrant chopper it is simulikn models

Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[ -6.2 -8.3 -5.0 -1.1 1 1.3 2.2 8.5 27.4], in x= [-4 -3 -2 -1 0 1 2 3 4] to interpolate in the xi = − 4 + 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!(Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[-6.2-8.3-5.0-1.1 1 1.3 2.2 8.5 27.4], in x= [-4-3-2-1 0 1 2 3 4] to interpolate in the xi = − 4+ 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!)

Rayleigh 信道的matlab 仿真程序 及论文"A Fast and Accurate Rayleigh Fading Simulator"(Rayleigh Road, Matlab simulation program and dissertation, "A Fast and Acc urate Rayleigh Fading Simulator ")