• DocumentCode
    3358740
  • Title

    Wavelet frequency-division based signal processing module design for a new type of middle ear implant

  • Author

    Min Xiao-feng ; Liu Hou-guang ; Ta Na ; Rao Zhu-shi

  • Author_Institution
    State Key Lab. of Mech. Syst. & Vibration, MSV, Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    5282
  • Lastpage
    5286
  • Abstract
    The wavelet transform separates the input signals into seventeen frequency bands based on Bark frequency scale. and each frequency band is multiplayed with the wavelet coefficients by the gain corresponding to the transform property of the human middle ear system. The results show this algorithm has a good performance of simulating the normal human middle ear.
  • Keywords
    medical signal processing; wavelet transforms; Bark frequency scale; middle ear implant; signal processing module design; wavelet frequency-division; wavelet transform; Auditory implants; Ear; Frequency; Humans; Process design; Signal design; Signal processing; Signal processing algorithms; Wavelet coefficients; Wavelet transforms; middle ear implant formatting; middle ear transfer function; piezoelectric actuator; wavelet frequency-division;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536198
  • Filename
    5536198