计算机工程与应用Issue(21)：210-213,233,5.DOI:10.3778/j.issn.1002-8331.1212-0348
基于最大能量匹配与样本熵的小波降噪方法
Wavelet threshold de-noising method based on maximum energy matching and fast sample entropy
常天庆 1李勇 1陈军伟 1张洋1
作者信息
- 1. 装甲兵工程学院 控制工程系，北京 100072
- 折叠
摘要
Abstract
In order to enhance effect of adaptive wavelet threshold de-noising method, a new wavelet threshold de-noising method combining wavelet packet decomposing based on maximum energy matching and fast sample entropy is presented. According to feature of each layer wavelet coefficient, wavelet packet base is selected adaptively based on maximum energy matching criterion to decompose signal with noises and then the wavelet coefficient under maximum scale is processed with threshold and is restructured to get noise signal. Fast sample entropy algorithm is used to compute sample entropy of noise and the threshold is adjusted dynamically to make sample entropy of noise maximum and obtain optimal de-noising effect. The results by example show that the method presented in this paper has better de-noising effect compared with tradi-tional wavelet threshold de-noising.关键词
最大能量匹配准则/快速样本熵/小波阈值降噪Key words
maximum energy matching criterion/fast sample entropy/wavelet threshold de-noising分类
信息技术与安全科学引用本文复制引用
常天庆,李勇,陈军伟,张洋..基于最大能量匹配与样本熵的小波降噪方法[J].计算机工程与应用,2014,(21):210-213,233,5.
