Green's function estimation from noise cross correlations

Author(s):  
Josselin Garnier ◽  
George Papanicolaou
2019 ◽  
Vol 146 (5) ◽  
pp. 3505-3511
Author(s):  
Lynda Chehami ◽  
Emmanuel Moulin ◽  
Julien de Rosny ◽  
Claire Prada

2014 ◽  
Vol 135 (3) ◽  
pp. 1034-1043 ◽  
Author(s):  
Andrea Colombi ◽  
Lapo Boschi ◽  
Philippe Roux ◽  
Michel Campillo

2013 ◽  
Vol 73 (1) ◽  
pp. 493-522 ◽  
Author(s):  
Maarten V. de Hoop ◽  
Josselin Garnier ◽  
Sean F. Holman ◽  
Knut Sølna

2020 ◽  
Vol 62 (4) ◽  
pp. 216-221
Author(s):  
Haiyan Zhang ◽  
Mintao Shao ◽  
Guopeng Fan ◽  
Hui Zhang ◽  
Wenfa Zhu

A method combining Green's function retrieval theory and sign coherence factor (SCF) imaging is presented to detect near-surface defects in rails. The defects are close to the ultrasonic phased array and near-surface acoustic information of defects is obscured by the non-linear effects of the initial wave signal in directly acquired responses. To overcome this problem, cross-correlations of the diffuse field signals captured by the array transducer are performed to reconstruct the Green's function. SCF imaging is used to further improve the spatial resolution and signal-to-noise ratio (SNR) of near-surface defects in rails. Experiments are conducted on two rails containing two and four defects, respectively. The results show that these defects can be clearly identified when using the reconstructed Green's function. However, the images of near-surface defects are masked and cannot be distinguished when using directly captured signals and total focus imaging. The proposed method reduces the background noise and allows for effective imaging of near-surface defects in rails.


2015 ◽  
Vol 138 (5) ◽  
pp. 3010-3018 ◽  
Author(s):  
Thibault Nowakowski ◽  
Laurent Daudet ◽  
Julien de Rosny

2019 ◽  
Vol 124 (2) ◽  
pp. 1944-1961 ◽  
Author(s):  
Takeshi Akuhara ◽  
Michael G. Bostock ◽  
Alexandre P. Plourde ◽  
Masanao Shinohara

2009 ◽  
Author(s):  
A. Duroux ◽  
J. Ayers ◽  
K. G. Sabra ◽  
M. Ruzzene ◽  
Donald O. Thompson ◽  
...  

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