Design of an optimized mother wavelet function for TEOAE signal denoising

Mohammad D. Abolhassani, Yousef Salimpour, Alireza Ahmadian, Vahid Tavakoli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
PublisherIEEE Computer Society
Pages2032-2035
Number of pages4
ISBN (Print)9781424417483
DOIs
StatePublished - Jan 1 2008
Externally publishedYes
Event2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 - Shanghai, China
Duration: May 16 2008May 18 2008

Publication series

Name2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Other

Other2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
CountryChina
CityShanghai
Period5/16/085/18/08

Keywords

  • Matching mother wavelets
  • Multiresolution analysis
  • TOAE
  • Time windowing and denoising
  • Tuning curves

ASJC Scopus subject areas

  • Biotechnology
  • Biomedical Engineering

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