OFDM

文件包括：Matlab7.0学习资料；MATLAB命令大全；MatLab工程数学应用；绘图及GUI；精通MATLAB—综合辅导与指南等(Documents include: Matlab7.0 learning materials MATLAB command Daquan MatLab Engineering Mathematics Applications graphics and GUI proficient in MATLAB-integrated counseling and guidance, etc.)

CoMP场景下，基于PMI的IRC干扰消除算法的仿真程序,算法可以参考论文“Interference Mitigation Based on Enhanced Interference PMI Notification”(In the CoMP scenario,the simulation program for an IRC interference cancellation algorithm based on PMI, which is described in "CoMP scenario, based on the PMI IRC interference cancellation algorithm simulation program")

Its alamouti code calculating BER performance.

matlab code for rotateXLabels( ax, angle, varargin

说明：  Matlab源代码，是一些教科书上用到过的代码。(Matlab source code is that some textbooks had used the code.)

基于Simulink的内插器的高效FIR多相结构实现仿真(Efficient FIR interpolator multiphase structure to realize the simulation based on Simulink)

代码给出高斯和瑞利等几种信道模型的仿真方法，代码规整，设定简单清晰(present an overview of a statistical channel model)

说明：  Power factor of wind turbine

Rayleigh distribution function

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)