laypunov

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

基于pocklington方程和hallen方程的矩量法求解线天线电流分布和方向图(Based pocklington equation and hallen equation method of moments current distribution and antenna pattern)

MATLAB 计算三角定位，根据信号强度进行定位。(The MATLAB calculation triangulation, locate based on signal strength.)

信道估计，信道模型建模，无线信号通道传输。(Channel estimation , channel modeling , wireless signal transmission channel .)

利用matlab读取TXT文档并显示，统计文档中某个字符出现的概率并显示，输入替换字符对文档中的某个字符进行替换。(Matlab TXT file to read and display the probability of occurrence of a certain character in the statistical document and display, enter the replacement characters to replace one of the characters in the document.)

用蒙特卡洛模拟来迭代1000次以后，计算10天后的VaR,特色就是对里面的方差和均值进行差分。里面有详细步骤和方法。(Using monte carlo simulation to iteration after 1000 times, calculate the VaR after 10 days,the characteristic of model is that calculating the the variance and mean 不by difference.There are detailed steps and methods)

小电流接地选线基于测度分析方法的相关程序，已仿真(Small current grounding line analysis method based on measurement of the relevant procedures, has simulation)

本程序给出了波束形成的TLS算法，并对其进行了仿真。(This procedure gives the beamforming TLS algorithm and its simulation.)

说明：  此函数实现对自适应波束图的极化，这样更加方便地在极化图中看到波束图的期望方向和干扰方向(This function implementation of adaptive beamforming polarization map, so that makes it easier to see in the picture at the polarization beam map the direction and interfere with the expectations of the direction of)

space vector modulation with simulink