• DocumentCode
    588843
  • Title

    Ultrasonic Target Recognition Based on Wavelet Packet and Neural Network

  • Author

    Xueqin Kou ; Lichen Gu

  • fYear
    2012
  • fDate
    17-18 Nov. 2012
  • Firstpage
    271
  • Lastpage
    274
  • Abstract
    Target recognition is one of the key technologies of the ultrasonic detection. In this paper, with wavelet packet analysis method, energy feature is extracted for actual ultrasonic echo signal to obtain target energy feature information in different frequency bands, then the neural network classifier is used to identify the target. Test results show that this method is effective in detecting real ultrasonic signals.
  • Keywords
    acoustic signal detection; feature extraction; neural nets; signal classification; wavelet transforms; energy feature extraction; neural network; neural network classifier; target energy feature information; ultrasonic detection; ultrasonic echo signal; ultrasonic target recognition; wavelet packet analysis method; Acoustics; Feature extraction; Neural networks; Target recognition; Wavelet analysis; Wavelet packets; Feature extraction; Neural network; Target recognition; Wavelet packet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-4725-9
  • Type

    conf

  • DOI
    10.1109/CIS.2012.67
  • Filename
    6405842
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=588843