Servlet.java

主要介绍了MATLAB命令，并对其进行了一定总结。对掌握相应的函数有所帮助。(Mainly introduces the MATLAB command, and gain a certain sum. Corresponding function of the master help.)

家了蒙特卡洛仿真的基于CV模型的目标跟踪，其中蒙特卡洛仿真100次。(Home of the Monte Carlo simulation model based tracking CV, in which Monte Carlo simulation 100 times.)

常用的MATLAB插值算法，包括高斯，牛顿插值等等(Interpolation algorithm commonly used)

a matlab GUID example for Wiener filter and one step prediction program for teaching

关于用matlab求解薛定谔方程的求解探讨问题研究说明(With regard to solving Schrodinger equation using matlab for solving the problems addressed in studies to illustrate the)

基于YCbCr颜色空间的人脸分割程序，且对大量实验图片验证均有效(YCbCr color space based on face segmentation procedure, and the picture of a large number of experimental verification are valid)

卡尔曼滤波的matlab实现，以以及卡尔曼滤波matlab实现过程中出现问题的解决方法(kalman filter matlab)

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.)

二维DOA估计,文件不是很长，还是比较好用的，希望能对大家有所帮助(use for two-dimension DOA estimate.)

经验模态安装工具包，方便好用，大家学学吧(emd empirical mode toolkit)