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Applications of the continuous wavel...

Refaee, Hassan.

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Applications of the continuous wavelet transform to analyzing otoacoustic emissions.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of the continuous wavelet transform to analyzing otoacoustic emissions./
Author:	Refaee, Hassan.
Description:	119 p.
Notes:	Source: Masters Abstracts International, Volume: 33-03, page: 0940.
Contained By:	Masters Abstracts International33-03.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MM92370
ISBN:	9780315923706

Applications of the continuous wavelet transform to analyzing otoacoustic emissions.
Refaee, Hassan.

Applications of the continuous wavelet transform to analyzing otoacoustic emissions. - 119 p.

Source: Masters Abstracts International, Volume: 33-03, page: 0940.

Thesis (M.A.Sc.)--University of Toronto (Canada), 1994.

This thesis investigates the advantages of using the wavelet transform (WT) to analyze otoacoustic emissions (OAEs) and speech signals. In particular we test the hypothesis that the WT is a suitable method for extracting the most important features of OAEs. First, we investigate the WT and its properties. We compare it with some other popular signal processing tools such as the Windowed Fourier Transform (WFT) and the Wigner Distribution (WD), in terms of time and frequency resolution, transient detection and robustness to noise. We then choose an algorithm to implement the WT and modify it in a manner that best suits our application. The modified algorithm is implemented in a graphical programming environment provided by LabVIEW (TM, National Instruments, Inc.). Some standard signals, including speech, are used to show the reliability of the algorithm. Finally, some samples of OAEs are recorded and then analyzed with the WT in an attempt to extract and display the information in the signals. For the applications considered, the WT is found to provide a superior representation compared to the other methods tested. (Abstract shortened by UMI.)

ISBN: 9780315923706Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Applications of the continuous wavelet transform to analyzing otoacoustic emissions.
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100 1 $a Refaee, Hassan. $3 1909947
245 1 0 $a Applications of the continuous wavelet transform to analyzing otoacoustic emissions.
300 $a 119 p.
500 $a Source: Masters Abstracts International, Volume: 33-03, page: 0940.
500 $a Supervisor: Hans Kunov.
502 $a Thesis (M.A.Sc.)--University of Toronto (Canada), 1994.
520 $a This thesis investigates the advantages of using the wavelet transform (WT) to analyze otoacoustic emissions (OAEs) and speech signals. In particular we test the hypothesis that the WT is a suitable method for extracting the most important features of OAEs. First, we investigate the WT and its properties. We compare it with some other popular signal processing tools such as the Windowed Fourier Transform (WFT) and the Wigner Distribution (WD), in terms of time and frequency resolution, transient detection and robustness to noise. We then choose an algorithm to implement the WT and modify it in a manner that best suits our application. The modified algorithm is implemented in a graphical programming environment provided by LabVIEW (TM, National Instruments, Inc.). Some standard signals, including speech, are used to show the reliability of the algorithm. Finally, some samples of OAEs are recorded and then analyzed with the WT in an attempt to extract and display the information in the signals. For the applications considered, the WT is found to provide a superior representation compared to the other methods tested. (Abstract shortened by UMI.)
590 $a School code: 0779.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Audiology. $3 1018138
690 $a 0541
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710 2 0 $a University of Toronto (Canada). $3 1017674
773 0 $t Masters Abstracts International $g 33-03.
790 1 0 $a Kunov, Hans, $e advisor
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791 $a M.A.Sc.
792 $a 1994
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MM92370