PFC

无线传感器网络方向，最快的选择传输的路径(Wireless sensor networks direction, choose the fastest transmission path)

说明：  使用与广大科研工作者参考和借鉴降水的分析方法和使用的分析数据(With the majority of researchers using reference for precipitation analytical methods and analysis of data used)

本文档介绍了如何在c++环境下调用MATLAB(This document describes how to call c++ environment MATLAB)

mapwindow6的源码。对于学习提高非常有用(mapwindow6 source. Very useful for learning to improve.)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

VC++与Matlab混合编程时，所需的lib库文件压缩包(VC++ and Matlab mix program，need liblibrary rar)

减聚类的类代码，可以直接使用获得类中心，类数目(Clustering by class code, you can directly use a type of center, type the number of)

matlab高级编程的所有源程序,以章节为单位，源程序很全(all program of matlab )

在职场需要注意的各种事项； 适合于刚刚工作的同学们(In the workplace should be noted that a variety of matters suitable for the work of fellow students just)

MPC模型预测控制算法应用在风电场功率波动平抑的典型案例，参考意义(The MPC model predictive control algorithm is applied in the typical case of wind farm power fluctuations )