• DocumentCode
    2525429
  • Title

    A New Feature Extraction Method Based on Feature Integration

  • Author

    Yi, Liu ; Caiming, Zhang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan
  • Volume
    3
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    A new method for integration feature extraction of respiratory signals is presented in this paper. According to the characters of the non-stationary sounds, we subdivided the wavelet space in L2(R) based on the wavelet multiscale analysis theory. Advantages of this approach are made both in algorithm and recognition capability. The experimental results demonstrate that the proposed feature extraction method is more powerful and more efficient
  • Keywords
    feature extraction; lung; medical signal processing; wavelet transforms; integration feature extraction method; respiratory signal; wavelet multiscale analysis theory; Computer science; Discrete wavelet transforms; Feature extraction; Filter bank; Frequency; Lungs; Multiresolution analysis; Signal processing algorithms; Space technology; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.388
  • Filename
    1692143
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2525429