Filtering noisy chaotic signal via sparse representation based on random frame dictionary

被引：0

作者：

谢宗伯 ^{[1
]}

冯久超 ^{[1
]}

机构：

[1] School of Electronic and Information Engineering,South China University of Technology

来源：

Chinese Physics B | 2010年 / 19卷 / 05期

基金：

中国国家自然科学基金;

关键词：

chaotic signal; denoising; sparse representation; random frame dictionary;

D O I：

暂无

中图分类号：

TN911.4 [噪声与干扰];

学科分类号：

081002 ;

摘要：

The denoising problem of impure chaotic signals is addressed in this paper.A method based on sparse representation is proposed,in which the random frame dictionary is generated by a chaotic random search algorithm.The numerical simulation shows the proposed algorithm outperforms those recently reported alternative denoising methods.

引用

页码：141 / 144

页数：4

共 18 条

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