Study on denoising of fractal signal based on Shannon entropy

被引：0

作者：

He, K ^{[1
]}

Wang, SX ^{[1
]}

机构：

[1] Jilin Univ, Sch Commun Engn, Changchun 130025, Jilin, Peoples R China

来源：

PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the wavelet coefficients' Shannon entropy of 1/f fractal signal and white noise at different scales is analyzed. Based on the proportion of wavelet coefficients' Shannon entropy of 1/f signal with that of signal polluted by noise at each scale, a new method of estimating 1/f fractal signal from added white noise is proposed in this paper. The simulation results show that this method is effective and practicable. Since it doesn't need to know the parameters of fractal signal and the statistical characteristic of added white noise in advance, this method is suitable in many situations.

引用

页码：751 / 755

页数：5

共 15 条

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