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

页码：148 / 155

页数：8

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