EE536-notes-2

说明：  混沌工具 function x=logistic(n,level,a,x0)(function x=logistic(n,level,a,x0))

word 版本的MATLAB教材，针对7.0，包含有7部分，讲述了MATLAB的基本内容。(word version of the MATLAB materials for 7.0, contains seven parts, describes the basic content of MATLAB.)

This m.file is intended to perform the numerical integration of a structural system subjected to an external dynamic excitation. The integration scheme utilized for this analysis is the newmark-wilson alpha-beta-theta method(collocation method). the collocation method is an implicit time steping scheme so stability of the system need not be considered.

A Web-Shareable Real-World Imaging Problem for

考虑一个信道失真了的脉冲x(t)，在均衡器的输入端由下式表示：x(t)=1/(1+(2t/T)^2) 其中1/T为符号率。该脉冲以2/T采样率被采样，而且用一个2K+1=11的强迫归零均衡器进行均衡。写一个Matlab程序来解这些迫零均衡器的系数，求出并画出这个迫零均衡器50个采样值的输出。(Considering a channel distortion of the pulse x (T), the input end of the equalizer is represented by the X (T) =1/ (1+ (2t/T) ^2). 1/T is a symbol rate. The pulse is sampled at the 2/T sampling rate and is balanced by a 2K+1=11 forced zero equalizer. A Matlab program is written to solve the coefficients of these zero forcing equalizers and to find out and draw the output of the 50 sampling values of the zero forcing equalizer.)

说明：  负载均衡调度问题：假设有N个任务，需要负载均衡器分配给M个服务器节点去处理。每个任务的任务长度、每台服务器节点（下面简称“节点”）的处理速度已知，请给出一种任务分配方式，使得所有任务的总处理时间最短。initRandomMat文件(Load balancing scheduling problem: suppose there are n tasks, which need to be allocated to m server nodes by load balancer. The task length of each task and the processing speed of each server node (hereinafter referred to as "node") are known. Please provide a task allocation method to minimize the total processing time of all tasks.initRandomMat)

这个程序主要是实现空时编码的matlab编解码仿真。(This process is implementation of space-time coding codec matlab simulation.)

基于三层结构的光纤Bragg光栅基本模（LP01）的截至频率测试程序，欢迎拍砖

说明：  一些MATLAB的例子，希望对大家有帮助(some examples, and I hope to be helpful)

说明：  改进的gmm（高斯混合模型）算法，是单一高斯几率密度函数的衍生(Improved gmm (GMM) algorithm, a single Gaussian probability density function of the derivative)