rectangle_pulses_ambig

说明：  先进PID控制及其MATLAB仿真 1、所有仿真程序按章归类，光盘中的程序名与书中一一对应。 2、将光盘中的仿真程序拷入硬盘MATLAB运行的路径中，便可仿真运行。 3、本书仿真程序在MATLAB 5.3版下运行成功，并适用于其他版本。 (Advanced PID Control and MATLAB Simulation 1, all the simulation procedures are classified by chapter, the program name CD-one correspondence with the book. 2, CD-ROM drive copyed MATLAB simulation program running path, simulation can be run. 3, the book version of simulation program in MATLAB 5.3 running successfully, and apply to other versions.)

说明：  Matlab编写BPSK信号通过AWGN信道的仿真过程(Matlab write BPSK AWGN channel signal through the simulation process)

DDS产生250-350M正弦波。相位量化处理，按M长度(DDS 250-350M generated sine wave.Phase quantization processing, according to M length)

Matlab2010经典超强教程(清晰、免费版)(Matlab2010 classic super tutorial (clear, free version))

包括0均值和给定方差的高斯白噪声生成函数，以及复高斯白噪声生成函数(Including the 0 mean and given variance Gaussian white noise generating function, as well as complex Gaussian white noise generating function)

异步电动机转子串电阻分级启动过程的MATLAB仿真大家一起学习(Rotor induction motor to start the process of classification Series Resistance MATLAB simulation we study together)

在MATLAB中建立异步电动机的风力机模拟系统模型(Lei Lu, Zhen Xie, Xing Zhang, Shuying Yang, Renxian Cao. A Dynamic Wind Turbine Simulator of the wind turbine generator system[J]. IEEE International Conference on Intelligent Systems Design and Engineering Application,2012.)

基于Simulink的四旋翼飞行器动力学建模与简单PID控制.有相关文献。(Dynamic modeling and simple PID control of four rotor aircraft based on Simulink.)

本程序以matlab为基础针对飞行目标的预测来建模的编程(This procedure to matlab-based objectives for the flight to prediction modeling programming)

日本九州大学的机械工程学院的 Xiong Xiaogang 于 2012 年提出一种更易于实现、同时有能够描述所有摩擦力现象的摩擦力模型，其基于一个微分方程和两个代数方程。本程序是其Simulink实现，非常好用。模型原理请参考：(In 2012, Xiong Xiaogang of the school of mechanical engineering, Kyushu University, Japan proposed a much easier way. The friction model, which can describe all friction phenomena, is based on a differential equation and two algebraic equation. This program is its Simulink implementation, very good use. Model principles, please refer to:Xiong X, Kikuuwe R, Yamamoto M. A differential-algebraic multistate friction model[M]. Simulation, Modeling, and Programming for Autonomous Robots. Springer Berlin Heidelberg,2012)