mpbat

to flip image in matlab

用MATLAB实现GMSK信号的产生与解调，希望给大家带来帮助！(MATLAB GMSK signal demodulation with the selection, we hope to bring help!)

建立模糊控制的查询表,隶属度函数为高斯型(Fuzzy control query table)

《MATLAB科学计算宝典》一书附录的例程,全程实例解说MATLAB数值计算和数据可视化功能，提高实用经验。包括微分，积分计算，超越方程，混沌，机械振动等的模拟。(matlab science calculate， all sorts of model for science research and so on.)

This function used for calculate Texture Unit and Texture Spectrum of an image.

simulation about DZ5 transformer in 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.)

经典DSP书籍，最新的第二版。chm格式，非常清晰。(classic books, the latest version of the second. Chm format, very clear.)

kalman filter在参数估计中的应用(Kalman filter to estimate the parameters of)

轨迹绘制。点击鼠标左键确定轨迹典型点，点击右键结束绘制。(Trajectory drawn. Click the left mouse button to determine the trajectory of a typical point, right-click to end the drawing.)