wireless

用不同的函数求得阈值进行消噪，希望对大家有用(The threshold denoising obtained with the different functions the hope that useful)

将阿尔法贝塔滤波原理使用MATLAB加以编程实现，并结合常用的工程参数设置形成一个子函数，可以在使用时方便的调用。主要应用于二维动目标跟踪。(Alpha Beta filtering principle will be using MATLAB programming, combined with commonly used engineering parameter set to form a sub-function, you can easily call during use. Mainly used in the two-dimensional moving target tracking.)

campos de direcciones hechios en matlab con codigo abierto

matlab 可视化 微分方程 线性方程 元胞自动机 晶体生长 金融(linear equations matlab visualization of cellular automata crystal growth differential financial)

Transmission Line Short Circuit Faults using MATLAB and PowerWorld, and Overloading of Transmission Lines using PowerWorld

Scheduling code for cluster

一个简单易上手的光伏并网模型，MATLAB-SIMULINK实现，具有MPPT功能(A simple and easy to use photovoltaic grid model, MATLAB-SIMULINK implementation, with MPPT function)

说明：  潮流计算三种方法代码大合集,牛顿拉夫逊，高斯法，pq法(matlab,Large set of codes for power flow calculation, Newton Raphson, Gauss method, pq method)

基于小波分析的故障检测方法，在容错组合导航方面应用，很不错的资料(Fault detection method based on wavelet analysis, the application of fault-tolerant integrated navigation, very good information)

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.)