ESPRIT

ASK通信编程仿真源程序(ASK communication simulation programming source)

说明：  齐声效应，能模拟几个演奏者同时演奏，但实际只有一个演奏者。(Chorus effect, can simulate several players while playing, but actually only one player.)

This thesis further develops a method from ongoing thesis projects with the goal of generating images using synthetic aperture radar (SAR) simulations coded in MATLAB.

基于BP算法的机载SAR点目标matlab仿真程序(The matlab code is about point target simulation of airborne SAR based on BP algorithm)

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.)

CDMA中多用户相关的一些仿真研究，有相关文档及MATLAB程序可供学习(CDMA Multi-user related to a number of simulation studies, with relevant documentation, and MATLAB programs for learning)

Volterra 级数，用于非线性建模，其中核需要自己确定，还有记忆长度(Volterra series for nonlinear modeling, in which the core needs to set itself, as well as memory length)

matlab code for extraction of texture featues

用增量子空间学习法（IPCA）实现车辆的前景检测(With incremental subspace learning method (IPCA) to achieve the prospect of testing vehicles)

说明：  自己用simulink搭建的FSK相干解调模型（有误码率分析）欢迎改进和交流 (Own use to build the FSK coherent demodulation simulink model (with bit-error rate analysis) welcomed the improvement and the exchange of)