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Paper Information

Journal:   AUDITORY AND VESTIBULAR RESEARCH   2007 , Volume 16 , Number 1 (27); Page(s) 25 To 35.
 
Paper: 

STUDY OF DENOISING IN TEOAE SIGNALS USING AN APPROPRIATE MOTHER WAVELET FUNCTION

 
 
Author(s):  ALI ZADEH DIZAJI H., ABOU ALHASANI MOHAMMAD JAVAD*, AHMADIAN A.R., SALIM POUR Y.
 
* MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING DEPT., MEDICAL SCIENCES, UNIVERSITY OF TEHRAN, IRAN
 
Abstract: 

Background and Aim: Matching a mother wavelet to class of signals can be of interest in signal analysis and denoising based on wavelet multiresolution analysis and decomposition. As transient evoked otoacoustic emissions (TEOAES) are contaminated with noise, the aim of this work was to provide a quantitative approach to the problem of matching a mother wavelet to TEOAE signals by using tuning curves and to use it for analysis and denoising TEOAE signals. Approximated mother wavelet for TEOAE signals was calculated using an algorithm for designing wavelet to match a specified signal.
Materials and Methods: In this paper a tuning curve has used as a template for designing a mother wavelet that has maximum matching to the tuning curve. The mother wavelet matching was performed on tuning curves spectrum magnitude and phase independent of one another. The scaling function was calculated from the matched mother wavelet and by using these functions, lowpass and highpass filters were designed for a filter bank and otoacoustic emissions signal analysis and synthesis. After signal analyzing, denoising was performed by time windowing the signal time-frequency component.
Results: Aanalysis indicated more signal reconstruction improvement in comparison with coiflets mother wavelet and by using the purposed denoising algorithm it is possible to enhance signal to noise ratio up to 7 dB.
Conclusion: The wavelet generated from this algorithm was remarkably similar to the biorthogonal wavelets. Therefore, by matching a biorthogonal wavelet to the tuning curve and using wavelet packet analysis, a high resolution time-frequency analysis for the otoacoustic emission signals is possible.

 
Keyword(s): TRANSIENT EVOKED OTOACOUSTIC EMISSION, TUNING CURVES, MATCHING MOTHER WAVELETS, MULTIRESOLUTION ANALYSIS, TIME WINDOWING, DENOISING
 
References: 
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