Application of discrete wavelet transform in a combustion chamber to turbulence measurement with LDV removing; Noise in measurement data using wavelet shrinkage

Zhong Zhang; Eiji Tomita

doi:10.1299/kikaib.70.2914

Application of discrete wavelet transform in a combustion chamber to turbulence measurement with LDV removing; Noise in measurement data using wavelet shrinkage

Zhong Zhang, Eiji Tomita

Graduate School of Natural Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.

Original language	English
Pages (from-to)	2914-2921
Number of pages	8
Journal	Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B
Volume	70
Issue number	699
DOIs	https://doi.org/10.1299/kikaib.70.2914
Publication status	Published - Nov 2004

Keywords

Discrete Wavelet Transform
Ldv Measurements
Noise
Turbulent Velocity

ASJC Scopus subject areas

Condensed Matter Physics
Mechanical Engineering

Access to Document

10.1299/kikaib.70.2914

Cite this

Application of discrete wavelet transform in a combustion chamber to turbulence measurement with LDV removing; Noise in measurement data using wavelet shrinkage. / Zhang, Zhong; Tomita, Eiji.

In: Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B, Vol. 70, No. 699, 11.2004, p. 2914-2921.

Research output: Contribution to journal › Article › peer-review

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abstract = "In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.",

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AU - Zhang, Zhong

AU - Tomita, Eiji

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N2 - In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.

AB - In this study, the influence of the measurement noise in LDV measurements were considered, and how to remove the noise using Complex Discrete Wavelet Transform (CDWT) was proposed. Then turbulent velocity in the combustion chamber measured with an LDV was analyzed. The major results can be summarized as follows : 1) The influence of the noise in the turbulent velocity becomes large as frequency increases. Therefore, a setup of cutoft frequency is difficult when removing the noise with a lowpass filter. 2) In this case, it is effective to remove the noise using the CDWT because of improvement of translation invariance.

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KW - Ldv Measurements

KW - Noise

KW - Turbulent Velocity

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Application of discrete wavelet transform in a combustion chamber to turbulence measurement with LDV removing; Noise in measurement data using wavelet shrinkage

Abstract

Keywords

ASJC Scopus subject areas

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