MyDEA1.0

一个add文件，里面有matlab和vc接口实例。 用vc打开使用(Add a file, there are instances of matlab and vc interfaces. Open to use with vc)

这是一个用于消除用户间干扰的MATLAB代码，利用了最小化干扰泄露的迭代优化算法，将用户接收到的干扰功率逼近于零来实现干扰消除。(This is a MATLAB code for eliminating interference between users, the use of iterative optimization algorithms minimize interference leaked, the user receives interference power approximation to zero to achieve interference cancellation.)

顯示WINDOWS的版本,用visual c++寫的(Show WINDOWS version, written with visual c++)

delaunary三角剖分，在数据点较小的情况下，运行结果还算客观，但是数据点大于五万时，运行较慢。(Delaunary triangulation, data point in the case of small, the operation results is objective, but the data points is greater than fifty thousand, is running slower.)

应用matlab 和epanet的各种函数接口 函数说明以及 epanet的 软件 帮助功能翻译(The application the Matlab and epanet various function interface function description and epanet software helps translation)

利用macd背离信号开单,它能省去很多人为的干预，自动交易，避免人性的恐惧和贪婪的弱点！(it use MACD divergence to trade!)

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)

DFT算法在MATLAB平台上的实现，包括源代码，说明等(Elimination phase algorithm in MATLAB platforms)

仿真火车站的站场图，可以办理进路，显示信号机，单操，单锁道岔等功能(Simulation Station station map, you can handle into the road.)

隐马尔科夫模型相关算法，包括前向算法、后向算法，维特比算法等(Hidden markov model algorithm, including the forward algorithm and backward algorithm and viterbi algorithm, etc)