A comparison of two methods for obtaining derived, noise-evoked otoacoustic emissions
A comparison of two methods for obtaining derived, noise-evoked otoacoustic emissions
This paper will discuss two methods for obtaining derived, noise-evoked otoacoustic emissions (NEOAEs). The first, originally proposed by Maat et al. [1], utilises the polynomial correlation functions. The application of linear compensation on the estimation of these functions is investigated in a more formal manner than in earlier publications, by looking at its effect on the statistical estimators. The second, related but novel, approach of obtaining derived-NEOAEs is based on rescaling the H1-estimator. Then moving back and forth between the time and frequency domains, separating the response into short and long latency temporal regions, in order to perform linear compensation. The errors on this second method are discussed, and two sources are highlighted; one due to random error on the estimates themselves; and the other due to numerical artefacts from the use of band-limited excitation. It is observed that the highest level excitation signal, counter intuitively, produces the noisiest estimate. A method of reducing noise-induced artefacts in the output spectra for the derived-NEOAEs is proposed that takes into account redundancy in the time series.
880-91
Harte, James M.
1ed3b723-9209-4f46-911d-2f2f345e0a32
Elliott, Stephen J.
c9f9ac1e-6b58-4057-ab63-761a21eaacfc
2005
Harte, James M.
1ed3b723-9209-4f46-911d-2f2f345e0a32
Elliott, Stephen J.
c9f9ac1e-6b58-4057-ab63-761a21eaacfc
Harte, James M. and Elliott, Stephen J.
(2005)
A comparison of two methods for obtaining derived, noise-evoked otoacoustic emissions.
Acta Acustica united with Acustica, 91 (5), .
Abstract
This paper will discuss two methods for obtaining derived, noise-evoked otoacoustic emissions (NEOAEs). The first, originally proposed by Maat et al. [1], utilises the polynomial correlation functions. The application of linear compensation on the estimation of these functions is investigated in a more formal manner than in earlier publications, by looking at its effect on the statistical estimators. The second, related but novel, approach of obtaining derived-NEOAEs is based on rescaling the H1-estimator. Then moving back and forth between the time and frequency domains, separating the response into short and long latency temporal regions, in order to perform linear compensation. The errors on this second method are discussed, and two sources are highlighted; one due to random error on the estimates themselves; and the other due to numerical artefacts from the use of band-limited excitation. It is observed that the highest level excitation signal, counter intuitively, produces the noisiest estimate. A method of reducing noise-induced artefacts in the output spectra for the derived-NEOAEs is proposed that takes into account redundancy in the time series.
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Published date: 2005
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Local EPrints ID: 28313
URI: http://eprints.soton.ac.uk/id/eprint/28313
ISSN: 1610-1928
PURE UUID: b221a1e1-5a94-4033-a5cc-8af099e457db
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Date deposited: 02 May 2006
Last modified: 08 Jan 2022 18:54
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Author:
James M. Harte
Author:
Stephen J. Elliott
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