Conical Statistical Optimal Near-Field Acoustic Holography with Combined Regularization

Conical Statistical Optimal Near-Field Acoustic Holography with Combined Regularization

For the sound field reconstruction of large conical surfaces, current statistical optimal near-field acoustic holography (SONAH) methods have relatively poor applicability and low accuracy. To overcome this problem, conical SONAH based on cylindrical SONAH is proposed in this paper. Firstly, element...

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Bibliographic Details
Main Authors: Wei Cheng, Jinglei Ni, Chao Song, Muhammad Mubashir Ahsan, Xuefeng Chen, Zelin Nie, Yilong Liu
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
sound field reconstruction
conical statistical optimal near-field acoustic holography (SONAH)
truncated singular value decomposition
combined regularization method
noise monitoring and control
Online Access:https://www.mdpi.com/1424-8220/21/21/7150

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