SOUND FIELD SEPARATION TECHNIQUE WITH SINLGE HOLOGRAPHIC PLANE AND ITS APPLICATION IN ACOUSTIC HOLOGRAPHY

2004 ◽  
Vol 40 (02) ◽  
pp. 112 ◽  
Author(s):  
Fei Yu
2014 ◽  
Vol 971-973 ◽  
pp. 1598-1601
Author(s):  
Xu Liu ◽  
Xiao Qin Liu ◽  
Chang Liu

Near-field acoustic holography (NAH) is a powerful technique for identifying noise sources and visualizing acoustic field.The theory and algorithm of NAH techniques are introduced , and it is proved by experiment and simulation. The researches on near field acoustical holography (NAH) are reviewed,including the sound field separation technique and Patch NAH technique arisen in recent years.The difficulties in NAH and research on current situations are discussed , Finally,some engineering applications are introduced by detailed examples.


2005 ◽  
Vol 54 (2) ◽  
pp. 789
Author(s):  
Yu Fei ◽  
Chen Jian ◽  
Li Wei-Bing ◽  
Chen Xin-Zhao

2005 ◽  
Vol 54 (3) ◽  
pp. 1253 ◽  
Author(s):  
Li Wei-Bing ◽  
Chen Jian ◽  
Yu Fei ◽  
Bi Chuan-Xing ◽  
Chen Xin-Zhao

2009 ◽  
Vol 125 (6) ◽  
pp. 3518-3521 ◽  
Author(s):  
Yong-Bin Zhang ◽  
Xin-Zhao Chen ◽  
Finn Jacobsen

Author(s):  
W Q Jia ◽  
J Chen ◽  
C Yang ◽  
Z Y Wang

In order to overcome the limitation of traditional near-field acoustical holography (NAH), that the sound field on one side of the holographic surface must be free, a sound field separation technique based on single holographic surface and wave superposition method (WSM) is proposed. According to the WSM, the field on and near the measurement surface may be approximated by the field produced by virtual source points placed on a surface inside the structure. The source strengths are evaluated by applying boundary conditions on the measurement surface. Here, the ‘pseudo’ sound pressure of the reconstruction surface is first obtained based on the principle of sound field mirror image and WSM, then the sound pressure of the target sound source acting on the holographic surface is separated by the sound pressures of the holographic surface and the reconstruction surface, and the sound field separation is realized. The technique requires the inversion of the Green's function matrix, which may be ill-conditioned. The Tikhonov regularization method is used to invert it, and the value of the regularization parameter is determined by the L-curve criteria. Through the numerical simulation and experiment, the results show the validity and efficiency of this technique.


2009 ◽  
Vol 58 (12) ◽  
pp. 8364
Author(s):  
Zhang Yong-Bin ◽  
Xu Liang ◽  
Bi Chuan-Xing ◽  
Chen Xin-Zhao

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