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Abstract
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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
Submitted: July 27, 2012
Accepted: September 17, 2012
Published: April 20, 2013 |
Abstract:
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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.
Key words: Aircraft, audio features, pattern recognition, wavelet analysis, , ,
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Cite this Reference:
Nuan Song, Shuang Xu, Jun Li and Jingyuan Shi, . The Aircraft Sonic Feature Extraction Based on the Wavelet Analysis. Research Journal of Applied Sciences, Engineering and Technology, (14): 3732-3735.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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