brownlisan

频率估计中的协方差算法的matlab实现(Frequency estimation of covariance algorithm matlab implementation)

adhoc的csma/ca仿真代码，按802.11的标准执行退避机制，接入信道。(the the adhoc' s csma/ca simulation code, perform backoff mechanism in the 802.11 standard, access channel.)

Edge Detection function in matlab

根据齿轮基本参数，计算啮合刚度，得到具体的刚度值。(According to the basic parameters of the gear, the meshing stiffness can be calculated.)

计算高斯-勒让德求积，直接调用函数即可。(Calculate the Gauss-Legendre quadrature.)

实现一个初始结点为3，最终结点为N的无标度网络，输出数据位邻接矩阵(It s out is a adistance matrix of a free-scale network which initial points is 3 and final points is N )

QPSK系统的误码率仿真，运用MATLAB编程(QPSK BER simulation, using MATLAB programming)

基于蚁群算法的路径分析，用 matlab工具实现 每个模块都是详细分块写的(Based on path analysis of ant colony algorithm, each module is written in detail by block using MATLAB tool.)

说明：  决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。 决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。 分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)

source code in matlab for binarization some text