The Aircraft Sonic Feature Extraction Based on the Daubechies(dbN)

被引：0
|
作者：
Song, Nuan [1 ]
Dong, Xingwen [1 ]
Cheng, Jihang [1 ]
Jiao, Yang [1 ]
机构：
[1] Air Force Aviat Univ, Changchun, Jilin, Peoples R China
来源：
COMMUNICATIONS AND INFORMATION PROCESSING, PT 2 | 2012年 / 289卷
关键词：
Aircraft; Audio Signal; Features Extraction; Wavelet Analysis; Pattern Recognition; PATTERN-RECOGNITION;
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：
This paper mainly based on Daubechies(dbN)the wavelet analysis of aircraft audio feature extraction. The aircraft passive sonic detects and identification technology as a traditional means of reconnaissance is an important component of airborne early-warning system. Based on the two kinds of battlefields targets about the audio spectrum characteristics, using the characteristic pick-up arithmetic of the wavelet decomposition measure detail signal domain energy which is based on wavelet theory, and using this algorithm obtains lower-dimensional feature vector.
引用
收藏
页码：148 / 155
页数：8
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