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2013 (Vol. 5, Issue: 14)
Article Information:

The Aircraft Sonic Feature Extraction Based on the Wavelet Analysis

Nuan Song, Shuang Xu, Jun Li and Jingyuan Shi
Corresponding Author:  Nuan Song 

Key words:  Aircraft, audio features, pattern recognition, wavelet analysis, , ,
Vol. 5 , (14): 3732-3735
Submitted Accepted Published
July 27, 2012 September 17, 2012 April 20, 2013
Abstract:

The aircraft passive sonic detects and identification technology as a traditional means of reconnaissance is an important component of airborne early-warning system. Using the sound wave what the acoustic targets produces in the rate process, to identify the targets is the basic task of passive acoustic detection system. This study using modern signal processing method studies the wavelet transform feature information extraction method of target audio signals. 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 theorystudy using this algorithm obtains lower-dimensional feature vector.
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  Cite this Reference:
Nuan Song, Shuang Xu, Jun Li and Jingyuan Shi, 2013. The Aircraft Sonic Feature Extraction Based on the Wavelet Analysis.  Research Journal of Applied Sciences, Engineering and Technology, 5(14): 3732-3735.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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