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EMDfenshufourier
- 经验模式分解算法是仿真分数阶高斯噪声(fGn)和分数阶布朗运动(fBm)的新方法， 利用MATLAB的GUI开发环境，设计和实现了基于经验模式分解的分数阶随机序列仿真系统。-Empirical mode decomposition algorithm is a simulation of fractional Gaussian noise (fGn) and fractional Brownian motion (fBm) of the new method, using MATLAB
EKF1
- EKF程序,用于计算目标跟踪的问题.运行情况很好,很适合非线性滤波问题.-EKF procedures used to calculate the target tracking problem.
archivo-nuevo.tar
- ghj vgn f gn f gn f fgn f-ghjghj vgn fgn fgn fgn fgn f fgn f
01_clase01.ppt.tar
- bnfg vb nfg fg sfg sf f fgn df fg
www
- 然后根据上述三个数据通过FGN模型产生65536个精确的自相似流量（自相似流量），然后以该流量作为仿真的驱动，驱动OPNET进行网络的仿真，统计相关的参数；-Then the above three data generated by the FGN model 65536 precision of self-similar traffic (self-similar traffic), then the flow as the driving simulation, driving OPNET
ffgn
- matlab形成fgn的代码段，是基于FFT形成的FGN-formation fgn matlab code segment is based on the formation of FGN FFT
HOW_TO_REVIEW_A_PAPER
- A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be characterized by the Hurst parameter. The FrFTbased estimation of Hu
fgn-LH
- 自相似数据源产生方法，输入参数为序列长度、自相似指数-self-similar traffic generation