genlaplacian

Antenna course final design project.

说明：  matlab环境下的多路串口数据实时绘图显示，GUI界面。(matlab environment in real-time multi-channel serial data graphics, GUI interface.)

包括最小二乘法、SVM、神经网络、1_k近邻法,用于信号特征提取、信号消噪，真的是一个好程序，采用热核构造权重，在matlab环境中自动识别连通区域的大小,GPS和INS组合导航程序，单径或多径瑞利衰落信道仿真，通过反复训练模板能有较高的识别率。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For feature extraction, signal de-noising, Really is a good program, Thermonuclear using weighting factors Automatic identification in the matlab environment the size of the connected area, GPS and INS navigation program, Single path or multipath Rayleigh fading channel simulation, Through repeated training FssQvKhlate have higher recognition rate.)

A full tutorial about matlab (learn matlab from scratch)

：以matlab工具箱的形式给出了静态及动态未知环境下移动机器人地图构建的仿真研究平 台。通过分析polaroid6500声纳、电子罗盘、编码器等传感器的工作原理建立了参数可调的传感器 模型。这些传感器为机器人提供位姿及环境信息。在分析已有基于hough变换的线段提取算法的基 础上提出了抑止。杂线段。现象的CIHT[Clus~r Inhibiting Hough Transform]算法．采用cIHT 对声蚋信息作环境特征提取，便于开展基于环境特征的未知环境地图构建算法方面的研究工作。(Abstract：A simulation system ofmapping for sonar-based mobile robot was developed易0 in static and dynamic unknown environments in a foFin ofmatlab toolbox．Sensor models with tunable parameters were established by interpreting and simulating the mechanism of encoder。digital compass．and polaroid 6500 sonar．These sensors provide the information of robot pose and environments．A novel C1HT[Cluster Inhibiting Hough Transfo删J algorithmfor sonar data was proposed by ana~zing existing line segments detection methods based on Hough Transform，which would make the research of feature—based mapping of unknown environment more convenient．)

linear and recursive least mean square

用matlab来评价金属元素污染程度，以判断污染的程度，其中污染的程度又分为不同等级。(use matlab to descripe metal)

该代码实现MI_graph算法来实现数据挖掘中多示例机器学习的示例分类过程。(This function is the main function for calling migraph method to use this function, LibSVM should be available.)

一个绘制chen混沌系统的matlab程序(A drawing chen chaotic systems matlab program)

基于逆系统法的荷载识别程序，对于模型简单的识别效果较好(Based on the method of inverse system load identification procedures for the simple model, good recognition effect)