FuzzyControlforwasher

Matlab编程自学必备的60个小程序，对初学matlab者很有帮助。(Matlab programming self-study program must have 60 small, useful for beginners who matlab.)

这个文档是关于基于DCT数字水印算法的Matlab实现,里面详细介绍了它的原理及相应的算法(This document is about digital watermarking algorithm based on Matlab DCT implementation, which introduces the principle and its corresponding algorithm)

stop & wait with matlab

matlab程序设计教程，里面有源代码和PPT是一个相当不错的书，内容丰富，言简意赅适合大家学习和参考。(matlab programming tutorials, source code and PPT which is a very good book, rich in content, concise and comprehensive study and reference for everyone.)

Mstar 的 MST705 TCON芯片 参考源代码(MST705 source code)

matlab实现的各种优化算法，包括牛顿-拉普森，牛顿-梯度下降等。(matlab optimization algorithm, including newton-raphson, newton-gredient and so on.)

降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)

CMA WITH N EQUAL TO 8,4,20

hamming编码和RS码，在AWGN下性能(hamming codes and RS codes in AWGN performance)

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.)