work

接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。这里对程序的流程进行说明。 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。 (The receiving end uses the algorithm and the program flow and the frame structure of the OFDM symbol transmitted by the sending end. Specific frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can refer to the documentation. Here to illustrate the process of the program. First, according to the characteristics of the short training word correlation operation, the signal reaches the detection, when the correlation value is greater than the threshold of a certain number of times, that there is a signal to reach. Then, according to the characteristics of the long training word, the correlation operation is carried out, and the initial position of the OFDM symbol FFT is estimated. The estimated position of the FFT window, first in the time domain for small frequency offset estimation, two long training word for small frequency offset compensation, the FFT operation. According to the result of FFT for integer frequency bias estimation. Af)

SVM的主要算法功能十分强大，分享之，如果你不行你可以下载看看是吧(dfgdfgweqweqweqwe)

对N个样本点进行主成分分析，并将结果可视化(N sample points on principal component analysis and visualization of results)

说明：  通信工程专业大学毕业设计论文，平坦衰落信道的MATLAB仿真(Flat fading channel MATLAB simulation)

mqam demodultion code with fc,fs,fd,M and ini_phase parameter

目标跟踪对于雷达目标跟踪过程，卡尔曼滤波器跟踪方法(target trace)

Route trajectory with variable speed

Matlab code for dds output can be taken for sine wave generation using matlab

说明：  MATLAB时频分析工具箱,很红用，很好用，行了吧。靠。(tftb mmmmmmmmmmmmm)

用于用MATLAB编程线性滤波法模拟风荷载计算脉动风载荷(Computation of fluctuating wind load)