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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536198
