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Your search keyword '"He, Chun-Dong"' showing total 2 results
Start Over Author "He, Chun-Dong" Topic acoustic holography
2 results on '"He, Chun-Dong"'

1. Patch nearfield acoustic holography based on the distributed source boundary point method

Author

He Chun-Dong, Yuan Yan, Xu Liang, and Bi Chuan-Xing

Subjects
Surface (mathematics), business.industry, Aperture, Acoustics, Holography, General Physics and Astronomy, Large aperture, Acoustic holography, law.invention, Optics, law, business, Distributed source, Mathematics
Abstract

Patch nearfield acoustic holography based on the distributed source boundary point method (DSBPM) is proposed to reduce an error of the reconstructed result obtained from the pressure measured on a small aperture. The extrapolated data on a larger holographic surface is obtained through the measured data on the small holographic surface using the DSBPM, then the extrapolated data is used to reconstruct sound source. The simulation results and the experimental results show that the method can provide a good reconstructed result under the condition of the small holographic aperture.

Published
2010

2. Regularization of the distributed source boundary point method based nearfield acoustic holography by using conjugate gradient algorithm.

Author

HE Chun-dong, BI Chuan-xing, XU Liang, and CHEN Xin-zhao

Subjects
MECHANICAL vibration research, ACOUSTIC holography, CONJUGATE gradient methods, ITERATIVE methods (Mathematics), MEASUREMENT errors, STATISTICAL reliability
Abstract

Conjugate gradient algorithm is proposed to stabilize the reconstruction process in the distributed source boundary point method (DSBPM) based nearfield acoustic holography (NAH) and to control the influence of measurement errors on the reconstructed results. The optimal iteration number is determined by placing an auxiliary surface between the hologram surface and the source surface and minimizing the relative error between the calculated pressure on the auxiliary surface corresponding to each iterative number and the measured pressure. Compared with the Landweber iterative regularization method, the proposed method can obtain the similar reconstruction precision, however, the iteration time is decreased greatly. Two experiments are investigated to demonstrate the validity and superiority of the method to decrease the reconstruction error. [ABSTRACT FROM AUTHOR]

Published
2011

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