TY - GEN
T1 - Design of an optimized mother wavelet function for TEOAE signal denoising
AU - Abolhassani, Mohammad D.
AU - Salimpour, Yousef
AU - Ahmadian, Alireza
AU - Tavakoli, Vahid
PY - 2008
Y1 - 2008
N2 - The aim of this work is to provide a quantitative approach to the problem of matching a mother wavelet to Transient Evoked Otoacoustic Emission (TEOAE) signals by using tuning. A tuning curve was used as a template for designing a mother wavelet that has the maximum matching to the tuning curve. 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 is performed by time windowing the signal's time-frequency components. By using the matched wavelet in Otoacoustic emission signal denoising, it is possible to enhance signal to noise ratio up to 7 dB. The wavelet generated from this algorithm was remarkably similar to the Biorthogonal wavelets. Therefore, a high resolution time-frequency analysis for the Otoacoustic emission signals is possible.
AB - The aim of this work is to provide a quantitative approach to the problem of matching a mother wavelet to Transient Evoked Otoacoustic Emission (TEOAE) signals by using tuning. A tuning curve was used as a template for designing a mother wavelet that has the maximum matching to the tuning curve. 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 is performed by time windowing the signal's time-frequency components. By using the matched wavelet in Otoacoustic emission signal denoising, it is possible to enhance signal to noise ratio up to 7 dB. The wavelet generated from this algorithm was remarkably similar to the Biorthogonal wavelets. Therefore, a high resolution time-frequency analysis for the Otoacoustic emission signals is possible.
KW - Matching mother wavelets
KW - Multiresolution analysis
KW - TOAE
KW - Time windowing and denoising
KW - Tuning curves
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U2 - 10.1109/ICBBE.2008.837
DO - 10.1109/ICBBE.2008.837
M3 - Conference contribution
AN - SCOPUS:50949088944
SN - 9781424417483
T3 - 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
SP - 2032
EP - 2035
BT - 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
PB - IEEE Computer Society
T2 - 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
Y2 - 16 May 2008 through 18 May 2008
ER -