A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions

Z. G. Zhang; S. C. Chan; V. W. Zhang; B. McPherson

doi:10.1109/iscas.2007.378035

A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions

Z. G. Zhang^*
, S. C. Chan
, V. W. Zhang
, B. McPherson

^*Corresponding author for this work

The University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper proposes a new minimum variance spectral estimation (MVSE)-based time-frequency analysis (TFA) for click-evoked otoacoustic emissions (CEOAEs). The conventional MVSE is extended to TFA by windowing the observation data to obtain a time-frequency distribution for the time-series. Based on the characteristics of CEOAEs, the window size is given a small value at high frequencies and a large value at low frequencies. The adaptive window size yields the proposed frequency-dependent WMVSE (FDWMVSE). The FDWMVSE integrates the advantages of adaptive window selection of wavelet transform and good resolution of MVSE. Experimental results show that the FDWMVSE can achieve better frequency resolution than other TFA methods when applied to synthesized and real CEOAEs.

Original language	English
Title of host publication	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	833-836
Number of pages	4
ISBN (Print)	1424409209
DOIs	https://doi.org/10.1109/iscas.2007.378035
State	Published - 2007
Externally published	Yes
Event	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States Duration: 27 May 2007 → 30 May 2007

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Conference

Conference	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
Country/Territory	United States
City	New Orleans, LA
Period	27/05/07 → 30/05/07

Access to Document

10.1109/iscas.2007.378035

Cite this

Zhang, Z. G., Chan, S. C., Zhang, V. W., & McPherson, B. (2007). A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions. In 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 (pp. 833-836). Article 4252764 (Proceedings - IEEE International Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iscas.2007.378035

@inproceedings{f7c3679071024a0fa93d1669f8739281,

title = "A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions",

abstract = "This paper proposes a new minimum variance spectral estimation (MVSE)-based time-frequency analysis (TFA) for click-evoked otoacoustic emissions (CEOAEs). The conventional MVSE is extended to TFA by windowing the observation data to obtain a time-frequency distribution for the time-series. Based on the characteristics of CEOAEs, the window size is given a small value at high frequencies and a large value at low frequencies. The adaptive window size yields the proposed frequency-dependent WMVSE (FDWMVSE). The FDWMVSE integrates the advantages of adaptive window selection of wavelet transform and good resolution of MVSE. Experimental results show that the FDWMVSE can achieve better frequency resolution than other TFA methods when applied to synthesized and real CEOAEs.",

author = "Zhang, \{Z. G.\} and Chan, \{S. C.\} and Zhang, \{V. W.\} and B. McPherson",

year = "2007",

doi = "10.1109/iscas.2007.378035",

language = "英语",

isbn = "1424409209",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "833--836",

booktitle = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007",

address = "美国",

note = "2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",

}

Zhang, ZG, Chan, SC, Zhang, VW & McPherson, B 2007, A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions. in 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007., 4252764, Proceedings - IEEE International Symposium on Circuits and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 833-836, 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007, New Orleans, LA, United States, 27/05/07. https://doi.org/10.1109/iscas.2007.378035

A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions. / Zhang, Z. G.; Chan, S. C.; Zhang, V. W. et al.
2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007. Institute of Electrical and Electronics Engineers Inc., 2007. p. 833-836 4252764 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions

AU - Zhang, Z. G.

AU - Chan, S. C.

AU - Zhang, V. W.

AU - McPherson, B.

PY - 2007

Y1 - 2007

N2 - This paper proposes a new minimum variance spectral estimation (MVSE)-based time-frequency analysis (TFA) for click-evoked otoacoustic emissions (CEOAEs). The conventional MVSE is extended to TFA by windowing the observation data to obtain a time-frequency distribution for the time-series. Based on the characteristics of CEOAEs, the window size is given a small value at high frequencies and a large value at low frequencies. The adaptive window size yields the proposed frequency-dependent WMVSE (FDWMVSE). The FDWMVSE integrates the advantages of adaptive window selection of wavelet transform and good resolution of MVSE. Experimental results show that the FDWMVSE can achieve better frequency resolution than other TFA methods when applied to synthesized and real CEOAEs.

AB - This paper proposes a new minimum variance spectral estimation (MVSE)-based time-frequency analysis (TFA) for click-evoked otoacoustic emissions (CEOAEs). The conventional MVSE is extended to TFA by windowing the observation data to obtain a time-frequency distribution for the time-series. Based on the characteristics of CEOAEs, the window size is given a small value at high frequencies and a large value at low frequencies. The adaptive window size yields the proposed frequency-dependent WMVSE (FDWMVSE). The FDWMVSE integrates the advantages of adaptive window selection of wavelet transform and good resolution of MVSE. Experimental results show that the FDWMVSE can achieve better frequency resolution than other TFA methods when applied to synthesized and real CEOAEs.

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DO - 10.1109/iscas.2007.378035

M3 - 会议稿件

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T3 - Proceedings - IEEE International Symposium on Circuits and Systems

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BT - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

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T2 - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

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ER -

Zhang ZG, Chan SC, Zhang VW, McPherson B. A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions. In 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007. Institute of Electrical and Electronics Engineers Inc. 2007. p. 833-836. 4252764. (Proceedings - IEEE International Symposium on Circuits and Systems). doi: 10.1109/iscas.2007.378035

A new minimum variance spectral estimation method for analyzing click-evoked otoacoustic emissions

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