• 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