摘要
在推导一种新型的基于分形布朗运动(fractional brownian motion,FBM)的等效带宽计算模型的基础上,提出了基于小波分析的Hurst参数计算模型。首先给出了ON/OFF数据源的数学定义,然后在此基础上推导了基于FBM的等效带宽计算模型。对模型的敏感性分析表明,Hurst参数是该模型的重要参数,文中提出了一种改进的基于小波分析的Hurst参数检测算法。仿真证明,所提的等效带宽模型正确有效,Hurst参数检测算法精度显著提高。
A novel Fractional Brownian Motion (FBM) based equivalent capacity evaluation and relative parameter computing algorithms are brought forward. Firstly, the mathematic definitions of the ON/OFF source are given. Then FBM based equivalent capacity evaluation formula is deduced. Because of the great importance of the Hurst parameter, an enhanced wavelet-based estimator of the Hurst parameter is proposed. The simulation shows that the algorithms proposed in this paper are superior to those currently used.
出处
《南京邮电大学学报(自然科学版)》
2009年第1期46-50,共5页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金
江苏省自然科学基金(BK2007604)资助项目