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噪声背景下fBm的小波分析及H参数的估计
引用本文:王晓晖,朱光喜,朱耀庭.噪声背景下fBm的小波分析及H参数的估计[J].华中科技大学学报(自然科学版),1996(12).
作者姓名:王晓晖  朱光喜  朱耀庭
基金项目:国家教委博士点专项基金
摘    要:分析了在加性白噪声背景下fBm的小波系数的二阶统计特性,得出了同一尺度上小波系数序列的平稳性结论,同时分析了噪声对H值的影响,并提出了一种根据小波系数估计H值的改进算法.实验表明,该算法能有效地抑制噪声的影响,估计出原信号的H值来

关 键 词:分形  分数布朗运动  小波分析

The Estimation of Parameter H from the Wavelet Analysis of fBm in a Noise Background
Abstract:The second order statistical property of the wavelet coefficients of fBm in a Gaussian white noise background is analyzed and the conclusion about the stationariness of wavelet coefficient sequence in the same scale is drawn. Between different scales, the variance of coefficients exhibits a power law relation, from which the parameter H of fBm can be estimated. An improved algorithm by which the affect of noise will be eliminated is presented. A simple experiment for verifying the effectiveness of the algorithm is given.
Keywords:fractal  fractional Brownian motion  wavelet analysis
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