scholarly journals Analysis of the impact factors on the accuracy of sound field reconstruction based on wave superposition

2008 ◽  
Vol 57 (7) ◽  
pp. 4258
Author(s):  
Li Jia-Qing ◽  
Chen Jin ◽  
Yang Chao ◽  
Jia Wen-Qiang
Keyword(s):  
Sound Field ◽  
Impact Factors ◽  
Field Reconstruction ◽  
Wave Superposition ◽  
Sound Field Reconstruction ◽  
The Impact

A sound field visualization system based on the wave superposition algorithm

2008 ◽  
Vol 222 (8) ◽  
pp. 1403-1412 ◽  
Author(s):  
J Q Li ◽  
J Chen ◽  
C Yang ◽  
G M Dong
Keyword(s):  
Numerical Simulations ◽  
Tikhonov Regularization ◽  
Sound Field ◽  
Point Sources ◽  
Experimental Results ◽  
Visualization System ◽  
Field Reconstruction ◽  
Wave Superposition ◽  
Sound Field Reconstruction ◽  
Regularization Strategy

Sound field visualization is a helpful design and analysis tool for the study of sound radiation and dispersion problems. It can help to comprehend deeply about noise transmission mechanism, monitor environment noise, evaluate sound quality, and even diagnose the machinery faults based on mechanical noise. The well-known near-field acoustic holography is an accurate sound field visualization technique. However, this technique has disadvantages such as strict measurement requirements and the need of an enormous number of microphones, which limits its extended applications. In order to visualize the sound field with a small number of microphones for measurements, the regeneration method of the radiated field by using the wave superposition algorithm is attempted in this study. It is based on the principle of equivalent source: the sound field radiated by an arbitrarily shaped radiator is substituted by the distributed point sources (monopole or dipole) constrained inside the actual source surface. For suppressing the adverse effect of measurement noise, the Tikhonov regularization strategy is adopted to work together with the wave superposition algorithm to give an accurate solution. Numerical simulations were performed based on a two-pulse-ball model to evaluate the accuracy of the combined algorithm of the wave superposition and the Tikhonov regularization strategy. In addition, an integrated sound field visualization system is designed and implemented. The functions include acoustic signal acquisition and processing, sound field reconstruction, and results visualization. The performance of the presented system was tested by experiments in a semi-anechoic chamber by using two sound boxes to simulate the sound sources. As concerning practical measurement microphones, there exist phase mismatches between the channels. Results will go wrong if the sound field reconstruction is performed directly with these uncalibrated measurement data. Therefore, a calibration procedure is applied to eliminate them. Experimental results indicate that the phase mismatches between the channels after calibration decay to 0.1°. Both the numerical simulations and experimental results accurately reconstructed the exterior sound field of the models. It is shown that the wave superposition algorithm together with the Tikhonov regularization strategy can exactly reconstruct the exterior sound field of radiators, which makes a base to its applications in practice. This sound field visualization system will make an operator's experimental work much easier.

Gaussian processes for sound field reconstruction

2021 ◽  
Vol 149 (2) ◽  
pp. 1107-1119
Author(s):  
Diego Caviedes-Nozal ◽  
Nicolai A. B. Riis ◽  
Franz M. Heuchel ◽  
Jonas Brunskog ◽  
Peter Gerstoft ◽  
...  
Keyword(s):  
Gaussian Processes ◽  
Sound Field ◽  
Field Reconstruction ◽  
Sound Field Reconstruction
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