LMS_algorithm

傅立叶变换的matlab实现和傅立叶反变换的matlab实现，入口参数是：t和f，出口参数是f和t(Matlab Fourier Transform and Fourier Transform realize the matlab realize, the entrance parameters are: t and f, the export parameters are f and t)

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 LmCPhB函数、短时幅度差、倒谱、复倒谱 lnRrOUM系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,LmCPhB function, short-term amplitude difference, cepstrum, cepstral lnRrOUM coefficient meter, etc. , is a program debugging through my years of )

matlab程序设计与应用，此书很通俗易懂，由浅入深，学习matlab的好资料(matlab program design and application, this book is very easy to understand, Deep and good information to learn matlab)

this archive is a document that us allows make a simulation of modulator sigma delta

file dlll very important for the file spike to run under matlab code and visual studio 10.

unit commitment in power system analysis

实现多智能体一致性编队, 是学习多智能体编队较好的资料。(The consensus formation control of multi-agent systems can be achieved.)

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.)

通信系统中4fsk调制方式的仿真与实现，绘出传输波形和接受波形(Simulation and implementation of communication systems 4fsk modulation, transmission waveform and receiving waveform draw)

中值滤波窗口大小影响滤波器性能,3×3滤波窗口可以很好地保持图像细节。提出一种新的自适应中值滤波方法。将3×3窗口中心的极值点作为候选噪声点,若候选噪声点仍然是7×7窗口的极值点,则该点即是噪声点。若以噪声点为中心的3×3滤波窗口的中值不是噪声,则噪声用中值替换。重复以上过程,直到没有噪声点被替换。(Median filter window size affect the filter performance, 33 filter window can be well preserving image detail. Propose a new adaptive median filtering method. The 33 extreme point of the center of the window as the candidate noise the candidate noise is still 77 extreme points of the window, the point is that the noise point. Terms of noise centered on the point 33 filtering window value is not a noise, the noise is replaced with the median. The process is repeated until there is no noise point is replaced.)