cooperative_diversity2

说明：  为大型相控阵天线真面进行调整优化，是阵面方向图达到要求(For large phased array antenna to adjust and optimize the real face is the front up to the required patterns 搜索)

Crossplatform IM the client for dialogue on a local area network and file transfers.

产生psk调制信号的源程序，并对信号进行成型滤波及上变频(generate PSK modulated signals, and the signals pass the shaping filter and DUC)

应用内模控制算法，个人认为图像很好，可以参考或学习。(Internal model control algorithm, personally think that the image is very good, you can refer to or learn.)

把最陡下降法编成了程序，输入系数就可以得到最陡下降的点()

MATLAB开发的精美时钟2,界面美观漂亮.(MATLAB development of the fine clock 2, the interface is beautiful beautiful.)

Fin the FFT, this program find the fast fourier transform, this is of many applications for the processing signal

有关粒子群算法的源代码，matlab编写，希望对需要的朋友有用。(the PSO source code, Matlab prepared, and I hope to the needs of useful friends.)

emd分解程序，和hht变换程序，适合初学者，希望对大家有用。(emd decomposition process, and the hht transformation program, suitable for beginners, and hope to be useful.)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)