• DocumentCode
    1591474
  • Title

    The Study of Feature Extraction Using Local Energy of Frequency Bands Based on Wavelet Packet Decomposition

  • Author

    Wang, Fengtao ; Chen, Jianguo ; Ma, Xiaojiang

  • Author_Institution
    Dalian Univ. of Technol., Dalian
  • Volume
    3
  • fYear
    2007
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    A new feature extraction method based on local energy of frequency bands is presented in this paper. Wavelet packet decomposition is studied and the concept of local energy of frequency bands based on wavelet packet decomposition is used to measure the signal energy in selected frequency bands and certain time-interval. The proposed feature extraction method was tested on simulated signals. The results showed that the developed approach was effective.
  • Keywords
    feature extraction; signal processing; wavelet transforms; feature extraction; frequency band; signal energy; wavelet packet decomposition; Discrete wavelet transforms; Educational technology; Fault diagnosis; Feature extraction; Frequency; Laboratories; Machining; Signal analysis; Wavelet analysis; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.749
  • Filename
    4344500
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1591474