4 16 64 QAM地块获得模拟和理论的一个简单的实现…

学校出的数学建模国际赛模拟题，要求对森林火灾进行仿真模拟，以下是我编的仿真程序，它绘制了很好的结果图。(Mathematical modeling of school out of international competitions simulation questions require simulation of forest fires, the following is my series of the simulation program, it draws a good result map.)

自适应滤波器，运用自能算法滤除噪音，实现滤波(Adaptive filter, using the can filter out noise, the algorithm to implement filtering)

说明：  运用随机四参数生成法形成多孔介质，可更改孔隙率(Using random four parameter generation method to form porous media, the porosity can be changed)

DC-DC部分采用定功率单环控制，包括AHP，因子分析，回归分析，聚类分析，使用起来非常方便，在matlab环境中自动识别连通区域的大小,可实现对二维数据的聚类，是学习PCA特征提取的很好的学习资料。

关于多基地主动声纳中的自动跟踪探测方面的文章来源IEEE(Adaptive Track Detection for Multi-Static Active Sonar Systems)

Another good file for nothing

Control of induction generator

线性调频脉冲信号,用于雷达仿真，不仅有原理介绍，而且给出了仿真程序(LFM signal)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，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。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

说明：  基于视频的车流量检测的MATLAB代码，采用虚拟检测线法统计车流量，采用基于高斯混合模型的背景建模方法。(The MATLAB code of the video-based vehicle flow detection uses the virtual detection line method to calculate the vehicle flow, and the background modeling method based on the Gaussian mixture model.)