fftspectrum

说明：  小波分析的matlab源代码，是墨西哥帽子的。(wavelet analysis Matlab source code, the Mexican hat.)

matlab svd modellin with fault.

Program to calcule the Bondad

通过运用matlab软件对图像进行直方图处理，从而达到处理的效果(By using matlab software for image histogram processing, so as to achieve the effect of treatment)

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：  三阶系统的模糊自适应仿真程序，并做了其阶跃响应，隶属度函数等图像(Order Fuzzy adaptive simulation program, and made its step response, the membership function, the image)

the algorithm is canny edge detector that is used to detect edges in an image.

有关TANNER软件的使用入门介绍，很不错的书籍(For TANNER introduction to the use of software, very good books)

说明：  一种鲁棒的电子稳像系统，很有用处，帮助很大！(A robust electronic image stabilization system, very useful, very helpful!)

DDA line Algorithm for draw line by matlab