Title :
From otoacoustic emission modeling to bionic wavelet transform
Author :
Yao, Jun ; Zhang, Y.T.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
Bionic Wavelet Transform (BWT), a new realtime adaptive method, is proposed in this paper based on understanding of the peripheral hearing system. The resolutions of BWT in the time-frequency domain can be adaptively adjusted not only by the signal frequency but also by other parameters of the signal, such as signal amplitude. Simulation results show new properties in time-frequency representation of this nonlinear transform
Keywords :
adaptive signal processing; otoacoustic emissions; physiological models; time-frequency analysis; wavelet transforms; bionic wavelet transform; nonlinear transform; otoacoustic emission modeling; peripheral hearing system; realtime adaptive method; signal amplitude; signal frequency; signal parameters; time-frequency representation; Auditory system; Band pass filters; Biomedical signal processing; Ear; Immune system; Q factor; Signal resolution; Time frequency analysis; Wavelet packets; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900736
