daolibaiyuzidongkongzhiyuanlishiyan.doc

利用MATlab编程实现对信号的滤波分析(Programming using MATlab filtering of the signal)

连接风电场的双馈异步电机电压控制及其仿真(Connected wind farms double-fed asynchronous motor voltage control its simulation)

自己编写的kalman滤波例子，实现对X,y坐标跟踪的例子，欢迎大家参考提意见(themselves prepared Kalman filtering example, the realization of X, y coordinates tracking example, Welcome reference comment)

rectifer sinosoidal first ejm

KMV编程代码，很实用的，把数据代进去就行了鸭(KMV programming code, very practical, put the data in place on the duck.)

matlab 倒立摆PID、LQR仿真程序(matlab Handstand pendulum simulation, using PID，LQR control)

粒子滤波几个历程 里面有英文标注 步骤明确 用于学习使用(Particle filter which has a history of several steps clearly marked in English for learning to use)

澳门大学钱涛教授开发的自适应傅里叶变换软件系统，附有使用手册，源码齐全，可世界使用，能实现信号的自适应分解。(Macao university professor Qian Tao developed adaptive Fourier transform software system, with a manual, complete source code, can be used in the world, to achieve adaptive decomposition of the signal.)

本文采用科研领域广泛应用的、功能强大的MATLAB软件及其仿真工具箱Simulink、Real-time Workshop、xPCTarget研究开发了针丈接轮胎压力监测系统(TPMS)的数据采集与处理系统。 首先利用Simulink工具箱建立TPMS系统所需参数的处理方法仿真模型 然后构建了基于MATLAB/xPCTarget的硬件平台,并结合所建立的仿真模型完成了整个数据采集与处理系统的开发 最后,通过实车实验,实时地采集数据,对系统的采集和处理数据功能进行验证。(In this paper, widely used in the field of scientific research, powerful and simulation software MATLAB toolbox Simulink, Real-time Workshop, xPCTarget research and development of a needle then Zhangting Tire Pressure Monitoring System (TPMS) for data acquisition and processing system. First of all, the use of Simulink toolbox parameters required for the establishment of TPMS system simulation model approach then constructed based on MATLAB/xPCTarget hardware platform, combined with simulation models created by the completion of the entire data acquisition and processing system Finally, it is vehicle experiments, real-time data collection, the system of collection and processing of data validation functions.)

无标度网络简介 生成原则 matlab程序代码以及最终成图plot(Introduction to generate scale-free network matlab code principles and ultimately into the chart plot)