lm_matlab

esprit算法对有干扰的信号频率进行估计,对于初学matlab的同学会有帮助，Matlab实现界面友好。( esprit algorithm signal frequency interference can be assessed Matlab for beginner students will help, Matlab to achieve user-friendly.)

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：  基于小波神经网络的预测算法，MATLAB下通过，效率较高。(Wavelet neural network based prediction algorithm, MATLAB adopted under, more efficient.)

时间序列的一般分解实例，其中包括原始数据，季节项，趋势项和随机项(General time series decomposition instance, including raw data, seasonal items, the tendency and random items)

系统辨识及其MATLAB仿真,白噪声产生程序(System Identification and MATLAB simulation, white noise generator)

自适应卡尔曼滤波在分析变形监测数据的实现(Adaptive Kalman filtering in the analysis of deformation monitoring data to achieve )

一些matlab中比较基本的源代码，实现不同的功能，非常实用(Some of the more basic matlab source code, to achieve different functions, very useful)

利用NSGAⅡ算法处理多目标优化问题，测试函数包括ZDT1,2,3; DTLZ1,2,3。包含测试函数的真实前沿面数据。(NSGA II algorithm is used to deal with multi-objective optimization problems. The test functions include ZDT1,2,3 and DTLZ1,2,3. Contains the real frontier data of the test function.)

用matlab实现的欧氏分水岭分割源码，十分方便(Achieved with the Euclidean matlab source watershed segmentation, very convenient)

通信系统中的符号调制，包括BPSK，QPSK，8PSK以及QAM的符号调制方式选择源程序。(Modulation symbols in a communication system, including BPSK, QPSK, 8PSK and QAM modulation scheme selection symbol source.)