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

Abstract

The wavelet transform separates the input signals into seventeen frequency bands based on Bark frequency scale. and each frequency band is multiplyed 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