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this is a code which can get the expected value of choosing 52 cades.

This algorithm is ADI algorithm.

综合了matlab和simulink使用的方法和注意事项，一些文献的集合(Matlab and simulink combination of the methods used and precautions, a collection of some of the literature)

使用matlab编写的，制作gif的小程序，可以更换背景和显示的图片。(Use matlab, making gif small program that can replace the background and display pictures.)

模块化多电平（modular multi-level control，MMC）matlab例程，仿真实例(Modular multi-level (modular multi-level control, MMC) matlab routines, simulation examples)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

混沌与分形的程序.比较简单,但是还是源码的说.(Chaos and Fractal procedures. Relatively simple, but still the source said.)

自编的图片旋转的函数，不是matlab原有的函数，而是根据原理自己写的(self picture rotation function, Matlab is not the original function, but on the basis of principles to write)

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

matlab code for pv battery converter