esprit

susan算法检测边缘的MATLAB实验程序和结果(susan algorithm to detect the edge of the experimental procedures and results of MATLAB)

optisystem matlab 的经典例子，非常实用！(optisystem matlab The classic example, very practical!)

设计一个换能器，不考虑电声损耗，按照要求计算出厚度和阻抗参数并画出TL-f曲线

两自由度刚性机器人动力学控制仿真程序，采用MATLAB Simulink仿真平台，Model.m为二自由度动力学模型，Control.m为控制器程序，Plot.m为绘制图形程序，Robot.mdl为Simulink主程序。 仿真顺序：先打开Robot.mdl，然后点击Start simulation按钮，最后运行Plot.m程序绘制仿真结果曲线。

说明：  要：分析和研究了授权用户和认知用户共享频谱的一种算法的性能。 针对阴影效应或信道深衰落时，单用户频谱感知算法无法识别是频带未被 使用还是信道处于深衰落的情况，在频谱感知功率控制算法上进行了改进， 以克服这种算法的不足。改进后的算法能有效地控制认知用户的发射功率， 避免对授权用户产生有害的干扰。仿真结果表明改(To: analysis and research of the authorized users to share spectrum users and a cognitive performance of the algorithm. For the shadow effect or deep fading channel, the single-user spectrum sensing algorithm can not identify a band or a channel has not been used in the case of deep fading, the spectrum sensing power control algorithm has been improved on, to overcome the deficiencies of this method. The improved algorithm can effectively control the cognitive user' s transmit power, to avoid harmful interference with authorized users. Simulation results show that the change)

Generating bunch of rays parellel to the given axial ray

本程序为丹麦奥尔堡大学开发的基于Matlab/Simulink的风电专用工具箱，包含专用的风模型、电机模型、变换器及控制策略等内容，著名的风电软件DIGSILENT等软件就是基于该软件开发的。(This toolbox has been developed during the research project “Simulation Platform to model, optimize and design wind turbines” and it has been used as a general developer tool for other three simulation tools: Saber, DIgSILENT, HAWC. The report provides first a quick overview over Matlab issues and then explains the structure of the developed toolbox. The attention in the report is mainly drawn to the description of the most important mathematical models, which have been developed in the Toolbox. )

可以试想大型机械零部件的轴承故障诊断功能。并可保存数据。(Bearing fault diagnosis can imagine a large mechanical parts. And save data.)

最短路径dijkstra算法的MATLAB实现(MATLAB implementation of the shortest path Dijkstra algorithm)

资源描述功能[毕业，呃，finaldelta ] =（上最隆重也是乐趣，X0）%上最隆重也是：对n个变量的解析函数的梯度向量估计%的用法：[毕业，呃，finaldelta ] =（上最隆重也是乐趣，X0）%%使用衍生物