caozhongdonglixue

说明：  调制信号分类Matlab程序,MATLAB编写，可以做通信原理实验(Modulation signal classification Matlab program, MATLAB writing, communication theory experiment can be done)

汽车五自由度4WS模型的建立与仿真分析比较，pdf文件(Car of five 4 WS model and simulation analysis comparison, PDF file )

Leach New Approch, to Get Distinguishing with Pegasis

应用于电力系统中的概率直流潮流算法，Probabilistic DC load flow(Applied to the probability of the DC power system load flow algorithm, Probabilistic DC load flow)

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

matlab 5.x版本相关学习资料，包括： matlab5手册； matlab5.x入门与提高； matlab5.x入门与应用； matlab5.x应用与技巧； matlab5.3精彩编程及高级应用； matlab5.x程序设计语言。(matlab 5.x versions of relevant learning materials, including: matlab5 manual matlab5.x entry and improving matlab5.x entry and applications matlab5.x applications and techniques matlab5.3 exciting programming and advanced applications matlab5.x programming language .)

说明：  是用matlab实现的三维立方体的聚集，得到三个两维的立方体和三个一维立方体，和一个顶点立方体(Matlab implement the aggregation of three-dimensional cube, there are three two-dimensional cube and three dimensional cube, and a vertex cube )

说明：  双馈风力发电系统的PSCAD仿真模型。大家学习下。(Wind PSCAD power system simulation model. We learn next.)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

程序的主要功能是仿真通过仿真三维物体运动模型，说明卡尔曼滤波在测量精度中的应用。(The main function of the program is three-dimensional simulation of the movement of objects through the simulation model, indicating that the measurement accuracy of the Kalman filter application.)