communication-system-simulation

Database creation and connection

说明：  定义法求解Lyapunov指数方法，精度比较低。(Index definition methods of Lyapunov method, the accuracy is relatively low.)

用于matlab 的学习，前五章内容为基本介绍，包括软件安装与卸载，数据类型，数组与matalab常用功能(For the matlab learning, basic introduction to the first five chapters content, including software installation and uninstallation, data types, arrays with common functions matalab)

通过MATLAB对常出现的数学模型进行建模，并对相关数值计算方法进行讲解(Often appear through the MATLAB mathematical model for modeling and related numerical methods to explain)

在matlab环境下，利用同余法产生（0,1）均匀分布随机数(Matlab environment congruential method (0,1) uniformly distributed random numbers)

The queueing example which is simplest for mathematical analysis is the M/M/1 queue. Here is the tcl script for it.

基于simulink的初级OFDM仿真模块(The primary OFDM simulation module based on simulink.)

those codes are very util for to designer signal processator

贝叶斯分类器实现多类识别，主要用于两类的识别(BAYES_CLASSIFIER function calculates the discriminant functions for two classes. )

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)