XiangGanJiLei

相关维数matlab仿真程序，很好用的！不用帐号即可下载(Correlation dimension matlab simulation program, a very good use! Do not have account to download)

内有多本mathematica的电子书籍教程，可供数学建模使用。此种书籍查阅很方便(Contain a number of e-books of the mathematica tutorial for the use of mathematical modeling. Easy access to such books)

本软件能实现复杂网络分析，功能强大,能计算复杂网路的度，簇系数，聚类和社区发现。(This tool can finish analysing complex networks, the function is complete.)

说明：  pol-sar目标分解H/a算法代码，对于学极化SAR的同学来说，是很好的入门(pol,-the sar goal decomposition of H/a algorithm code, is a good place to start for students who learn polarization SAR )

严格耦合波分析。可用于计算光栅的衍射效率。(Rigorous Coupled-Wave Analysis)

two-way-relay场景下，中继处理矩阵的设计，仿真分析了DPC-ZF及DPC-MMSE算法的性能要由于AF与ZF算法性能。(In the two-way-relay scenario,simulation show that both DPC-ZF and DPC-MMSE have a higher throughput and lower BER performance compared with the traditional AF algorithm and ZF algorithm.)

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.)

用matlab编写的ukf算法，有例子，适合初学者(Written ukf with matlab algorithms, there are examples, suitable for beginners)

The simulink of ofdm system.

说明：  正弦合成法实现的瑞利多径信道MATLAB源码,是信道建模的基础 (Sine synthesis method to achieve multi-path Rayleigh channel MATLAB source code is the basis of channel modeling)