pinghua (2)

各种时间制之间的转换，包括许多数据应用的儒略时与标准时之间的转化(The conversion between a variety of time, including many data applications Julian conversion between standard time and JD)

extract all 3 files in the same folder.

这是一个矩形梁的有限元程序，用matlab来编的，可以作为初学有限元程序的人学习(this is a finite element program,it was compiled by matlab.)

生成PN序列（伪随机噪声序列），阶数包括2阶，3阶，4阶，5阶，6阶，7阶，8阶。并在前面补0后形成相应的2的幂次长的序列。(Generated PN sequences (pseudo-random noise sequence), including the orders of 2 order, 3 order, 4 order, 5 order, 6 order, 7 order, 8 order. And fill in front of 0 after the formation of the corresponding power of 2-long sequence.)

说明：  读取SEGY，SU等格式的地震数据、地质雷达数据。最新版本的matlab源文件，在以前版本做了很大的修改，可以读任意时间段或任意CDP段的数据，使用灵活方便。(Read SEGY, SU format, such as seismic data, geological radar data. The latest version of matlab source files, in previous versions to do a lot of changes, can be read any time or any segment of the CDP data, flexible and convenient.)

Tactial+and+Strategic+Missile+Guidance一书程序源码（For Mac in Matlab）-(Tactial+and+Strategic+Missile+Guidance book program source code (For Mac in Matlab))

matlab里用于码元扩展的自定义程序，希望可以对你有帮助。(custom program matlab for symbol extension)

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.)

LFM信号与BPSK信号相区别分析识别的程序(LFM脨脜 潞 脜脫毛BPSK脨脜 潞 脜脧脿脟酶 卤 冒 脰脦枚脢 露 卤 冒渭脛 鲁 脤脨貌)

Modeling Variable Annuities with MATLAB