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

Xiao-feng Min, Houguang Liu, N. Ta, Zhushi Rao
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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
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一种新型中耳植入物的小波分频信号处理模块设计
小波变换基于巴克频率尺度将输入信号分成17个频带。每个频带与小波系数相乘的增益与人类中耳系统的变换特性相对应。实验结果表明,该算法对正常人体中耳具有较好的模拟效果
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