Highcharts-3.0.7

对不理想环境下信号DOAMUSIC算法的性能仿真分析。(Not an ideal environment for the signal DOA MUSIC algorithm of the performance simulation.)

阵列处理的一个分支，空间谱估计中的MUSIC和ESPRIT算法(Array processing, a branch of the MUSIC spatial spectrum estimation and the ESPRIT algorithm)

To detect the corner points in an image

有关matlab的相关知识的汇总内容比较基础易学比较容易掌握(Summary of the basis of knowledge about matlab)

基于全程快速微分器的PID控制matlab m文件仿真模型\作图(Based the full fast differentiator PID control matlab m file simulation models mapping)

FCM_S算法的matlab代码 包括其改进FCM_S1 和 FCM_S2(FCM_S1 and FCM_S2 with matlab code)

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.)

齿轮箱故障诊断BP模型的Matlab程序(Gearbox fault diagnosis of BP model Matlab program)

有关AR模型的设计，以及模型参数的确定方法的选择(AR model on the design and model parameter selection method)

Matlab是一个很好的大型数值计算软件。解释型的程序执行、即时的调试窗口、高效的矩阵运算、丰富的工具箱,使它成为了数值计算和科研工作的必备软件。虽然Matlab具有众多的优势,可是它的程序却很难完全摆脱Matlab环境运行,在界面功能上也效率低下,这些缺点我们在使用Matlab的同时,不免担忧自己的成果不能方便地对外发布。对Matlab的运行方式进行了分析,之后提出了Matlab和VC高级语言之间混合编程的方法,以及Matlab程序独立打包和如何提高Matlab程序的界面运行效率的方法。 更多还原 (Matlab is a nice large numerical software. Explain the type of program execution, real-time debug window and efficient matrix operations, rich toolbox, making it the numerical calculations and research work necessary software. Although Matlab has many advantages, but it is difficult to completely get rid of the program running Matlab environment, the interface functions inefficient, these shortcomings in the use of Matlab while we can not help but worry about their results can not easily be released. For Matlab operation mode are analyzed, and then propose a hybrid programming approach between Matlab and VC-level language, and Matlab program independent packaged and how to improve the operational efficiency of the Matlab interface procedures. More Restore)