DocumentCode
3088806
Title
Development of Helicopters Sound Detection Systems
Author
Hashem, H. Assan Fahmy ; Amin, Abbas
Author_Institution
Alexandria High Inst. of Technol.
Volume
0
fYear
2006
fDate
14-16 March 2006
Firstpage
1
Lastpage
8
Abstract
The presence of a background noise in the helicopter´s sound signals can cause un-acceptance degradation in the detection of the performance method. The recent detection method uses artificial neural networks (ANNs), in combination with parametric spectral representation techniques to detect these targets. The feature encoding techniques based on linear prediction coefficients (LPC) have been applied to obtain spectral estimate of the acoustic signals. This paper investigates preprocessing of signal enhancement prior to feature extraction using different wavelet transform functions
Keywords
acoustic signal detection; feature extraction; helicopters; linear predictive coding; neural nets; signal representation; spectral analysis; wavelet transforms; ANN; LPC; acoustic signal; artificial neural network; encoding technique; feature extraction; helicopter sound signal detection; linear prediction coefficient; parametric spectral representation technique; performance method; signal enhancement; spectral estimation; target detection; wavelet transform function; Acoustic noise; Acoustic signal detection; Acoustical engineering; Artificial neural networks; Feature extraction; Helicopters; Linear predictive coding; Noise reduction; Pattern classification; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 2006. NRSC 2006. Proceedings of the Twenty Third National
Conference_Location
Menoufiya
Print_ISBN
977-5031-84-2
Electronic_ISBN
977-5031-84-2
Type
conf
DOI
10.1109/NRSC.2006.386370
Filename
4275167
Link To Document