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搜索结果: 1-15 共查到Hurst相关记录26条 . 查询时间(0.039 秒)
This study analyzed the spatial and temporal variations in the Normalized Difference Vegetation Index (NDVI) on the Mongolian Plateau from 1982-2013 using Global Inventory Modeling and Mapping Studies...
The characteristic feature of semi-selfsimilar process is the invariance of its finite dimensional distributions by certain dilation for specific scaling factor. Estimating the scale parameter λand th...
Abstract: In this paper we consider stochastic differential equations with non-negativity constraints, driven by a fractional Brownian motion with Hurst parameter $H>\1/2$. We first study an ordinary ...
In this paper we consider the Stochastic isothermal, nonlinear, incompressible bipolar viscous fluids driven by a genuine cylindrical fractional Bronwnian motion with Hurst parameter $H \in (1/4,1/2)$...
Abstract: Given a fractional Brownian motion \,\,$(B_{t}^{H})_{t\geq 0}$,\, with Hurst parameter \,$> 1/2$\,\,we study the properties of all solutions of \,\,: {equation} X_{t}=B_{t}^{H}+\int_0^t X_{u...
Abstract: In this paper we consider the Stochastic isothermal, nonlinear, incompressible bipolar viscous fluids driven by a genuine cylindrical fractional Bronwnian motion with Hurst parameter $H \in ...
采用长时间、大周期统计Hurst指数,进而计算出动态 Hurst指数,从而判断实际股票市场的股票指数的趋势以及动态Hurst指数的适应范围,认为动态 Hurst指数在证券投资中有一定的参考价值, 可以对股票价格或指数的长时趋势进行预测.
Nonlinear time series analysis aims at understanding the dynamics of stochastic or chaotic processes.In recent years, quite a few methods have been proposed to transform a single time series to a comp...
Consistency, almost sure convergence and central limit theorems are provided for two nonparametric estimators of the local Hurst function of Gaussian multifractional processes. In the case of multifr...
Time scale dependence on the working nature of wavelet analysis makes it a valuable tool for Hurst parameter estimation. Similar to other wavelet-based signal processing applications, the selection of...
Time scale dependence on the working nature of wavelet analysis makes it a valuable tool for Hurst parameter estimation. Similar to other wavelet-based signal processing applications, the selection of...
In this short note, we show how to use concentration inequalities in order to build exact confidence intervals for the Hurst parameter associated with a one-dimensional fractional Brownian motion.
针对传统长相关网络流量Hurst指数估计算法估计结果不准确、可变信息受损严重的情况,提出时域内滑窗时变方差之差Hurst指数估计算法,采用已知参数的人工分形高斯噪声序列及Bellcore采集的真实网络流量序列BC-pOct89对其进行验证。结果表明该算法减少了可变信息损失,能动态地刻画全域上的长相关特性,具有较高的准确性和鲁棒性。
针对表征自相似网络流量统计特性的赫斯特(Hurst)指数,讨论一种基于经验模式分解的Hurst指数估计算法。该算法通过对自相似网络流量数据进行自适应分解,得到一组满足指定余项误差的固有模态函数分量,由其能量对数化函数与Hurst指数之间的线性拟合,估计出Hurst指数。实验表明,该算法能对自相似网络流量的Hurst指数进行自适应估计。
研究分布式拒绝服务(DDoS)攻击对网络自相似性的影响,提出一种通过计算Hurst指数方差检测DDoS攻击的方法,通过使用MIT的林肯实验室数据进行试验,得出DDoS攻击的判决条件。实验表明,该方法能检测DDoS攻击引起的Hurst指数方差的变化,其检测率比传统的特征匹配方法高出8%,误报率比自相似性检测方法低了3%。

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