MATLAB

Decision Trees and Predictive Models with cross-validation and ROC (Receiver Operating Characteristic) analysis plot

旋转不变子空间esprit算法对波达方向估计源程序(rotation invariant subspace esprit algorithm right direction- source)

此代码说明马赛克产生的基本方法 很不错，值得看看(This code shows the basic method of generating mosaic is very good, worth a look)

基于SVR的线性系统故障诊断，假设线性系统在1.4s~1.6s期间发生前向通道恒增益故障，恒增益变化系数为1.8(Linear systems based on SVR fault diagnosis, assuming a linear system in 1.4s ~ 1.6s during forward channel constant gain fault, constant gain coefficient of variation of 1.8)

matlab 程序代码 线性系统 龙格库塔法 可以解微分方程(matlab code linear system can solve differential equations Runge-Kutta method)

一种对TOA进性能进行数据分析与图形展示的源代码，详尽展示了TOA性能，望采纳(TOA into a kind of performance for data analysis and graphical display of the source code, detailed performance shows the TOA, looking to adopt)

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.)

说明：  此代码 实现 Seg-Y文件的 读取及显示 功能，在matlab环境下开发的，完整调试通过，且附有详细的程序说明。并附有测试的 seg-y 文件。可以帮助学地球物理的，特别是学 物探 的人员实现 需要的功能！对于想要C++代码的，可以自己看懂后，自己写成C++程序，非常简单，方便！(This code implements the Seg-Y file to read and display capabilities, developed under the matlab environment, complete debugging through, and with a detailed description of the procedures. Together with the test seg-y files. Geophysical science can help, especially school staff to achieve required geophysical features! For those who want C++ code, you can read his post, written in C++ program itself is very simple and convenient!)

《Maltab在数学建模中的应用》卓金武等，源代码，北京航空航天大学出版社(Maltab mathematical modeling，Zhuojin Wu, source code, Beijing University of Aeronautics and Astronautics Press)

文件夹LSB中是空域LSB算法程序，文件夹COX中是Cox算法主要程序，文件夹DCT中是频域加在中频的算法的程序。 步骤：把LSB，COX，DCT三个文件夹考在MATLAB目录下； 运行lsb_embed,programme,dct2_embed_mod即可。其中PSNR.m是计算峰值信噪比程序；attact.m & robust.m是攻击程序。(Content: folder LSB of spatial LSB algorithm program, folder COX Cox algorithm is the main program folder DCT frequency domain is added to the IF algorithm program. Steps: the LSB COX DCT three files folder test in the MATLAB directory run lsb_embed program, dct2_embed_mod can. The which PSNR.m calculate the peak signal to noise ratio procedures attact.m & robust.m exploit.)