The study of feature extraction using local energy of frequency bands based on wavelet packet decomposition

被引：0
|
作者：
Wang, Fengtao [1 ,2 ]
Chen, Jianguo [1 ,2 ]
Ma, Xiaojiang [1 ,2 ]
机构：
[1] Dalian Univ Technol, Key Lab Precis & Non Tradit Machining, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Minist Educ, Dalian 116024, Peoples R China
来源：
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 3, PROCEEDINGS | 2007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：
A new feature extraction method based on local energy of frequency bands is presented in this paper. Wavelet packet decomposition is studied and the concept of local energy of frequency bands based on wavelet packet decomposition is used to measure the signal energy in selected frequency bands and certain time-interval. The proposed feature extraction method was tested on simulated signals. The results showed that the developed approach was effective.
引用
收藏
页码：167 / +
页数：2
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