PWE of band structure

将PID 控制与模糊控制的简便性、灵活性以及鲁棒性融为一体,构造了一个参数自整定模糊PID 控制器. 通过模糊控制规则在线调整PID 控制器的参数,并利用MATLAB 语言结合具体实例方便而快速地实现了该控制器的计算机仿真. 仿真结果表明:该控制方法提高了控制系统的动、静态特性,使系统获得了较好的性能.(The PID control and fuzzy control of the simplicity, flexibility and robustness of the integration, construction of a parameter self-tuning fuzzy PID controller. Through the fuzzy control rules online adjust the parameters of PID controller, and use specific examples of MATLAB language and quickly realize the convenience of the controller)

说明：  详细的介绍用Matlab处理数字信号的方法(Detailed introduction of digital signal processing using Matlab method)

基于MATLAB的，求解线性方程组的雅可比迭代法和高斯-赛德尔迭代法的比较 (Than the iteration method and Gauss- Seidel iterative method based on MATLAB, solving linear equations of Jacques)

implementation of OFDM

add kml file to matlan

dopasowanie rozkladu Laplace a

介绍了一种用Matlab 信号处理工具箱进行数字滤波器设计的方法。给出了工具箱中的FDATool 图形用户接 口的详细使用方法,用FDATool 进行滤波器设计,可以随时对比设计要求和滤波器特性调整参数,直观简便,在每次改变参 数时,由于计算机的超强运算能力,只需点击设计按钮,新的滤波器立即产生,避免了传统滤波器设计的大量手工运算。并 用他设计出了满足性能要求的低通数字滤波器,实现了对加速度传感器干扰振动信号的滤除,解决了工程实际问题。(This thesis int roduces a digital filter designing method using signal processing toolbox in Matlab sof tware. It gives detailedly using specifications of FDATool graphical user interface ,when designing filter using FDATool ,you can com2 pare filter designing demand with filter character so as to adjust the parameter at any moment . For powerful operation function of the computer ,when the parameters are changed ,you only need point the design button ,new filter will be produced. In this way ,a mass of manual operation will be avoided. A good lowpass digital filter is designed using FDATool ,the filter can filter preferably the acceleration sensor vibration signal and resolve the engineering problem.)

这是几个时频分析软件，可以用于通信等房买卖的信号分析(This is the number of time-frequency analysis software can be used for communications, signal analysis trading room)

说明：  TD信令流程 TDGSM切换测量控制 路由信令更新流程(TD signaling processes TDGSM switch routing signaling update process measurement and control)

Cost sensitive classification code