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matlab 初始对准测试，对研究初始对准的朋友提供参考(matlab align test program)

Soluç ã o de Equaç ã o Diferencial Ordinária - Método do Ponto Médio

主要用途是对抗多径衰落。由于多径衰落的存在，使得同一个帧由于路径不同，到达用户端的时延有先有后。在相关的频域上的会造成子载波之间的相互干扰，影响 性能。另外，由于有了循环前缀，使得IFFT FFT操作把原来的线性卷积变成循环卷积，大大简化了相应的信号处理复杂度(Graduate study do not to upload copyrighted controversial content and Trojan code and agent software to access foreign sites)

现代信号处理的matlab开发软件包，包含很多常用的库函数(Matlab development of modern signal processing software package that contains a number of commonly used library functions)

说明：  并网光伏发电系统最大功率点跟踪技术的研究.nh(Grid-connected photovoltaic power generation system Maximum Power Point Tracking Technology. Nh)

非常帅气的window32 窗口类源码，可以此为基础做进一步的开发。(A Simple Win32 Window Wrapper Class。http://www.codeproject.com/win32/win32windowwrapperclass.asp)

粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． (Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.)

通过编写触发对象后产生的动作执行程序完成下列任务： ①表面图、网格图或等高线图的图形显示； ②命令按钮响应绘制各类图形； ③添加菜单项实现图形窗口颜色的更改。 (Trigger objects by writing the action resulting from the implementation of the program complete the following tasks: ① surface map, contour map grid map or graphic display ② Draw a command button to respond to all kinds of graphics ③ Add menu item to change the color of graphics window.)

微分方程的matlab解法，已经试过，很不错，放心使用(Matlab differential equation solution, has been tried, very good, ease of use)

modulation function ask for matlab