Multichannel deconvolution of an acoustic transient in an oceanic waveguide

1992 ◽  
Vol 92 (1) ◽  
pp. 351-364 ◽  
Author(s):  
Peter C. Mignerey ◽  
Steven Finette
Keyword(s):  
Oceanic Waveguide ◽  
Acoustic Transient ◽  
Multichannel Deconvolution

Multichannel Deconvolution Based on Spatial Structure Regularization

2019 ◽  
Author(s):  
H. Li ◽  
G. Li ◽  
S. He ◽  
D. Zhao ◽  
Z. Wang ◽  
...  
Keyword(s):  
Spatial Structure ◽  
Multichannel Deconvolution

scholarly journals Multiple scattering analysis for a target in an oceanic waveguide

1988 ◽  
Vol 83 (S1) ◽  
pp. S95-S95
Author(s):  
Roger H. Hackman ◽  
Gary S. Sammelmann
Keyword(s):  
Multiple Scattering ◽  
Oceanic Waveguide

Blind Multichannel Deconvolution and Convolutive Extensions of Canonical Polyadic and Block Term Decompositions

2017 ◽  
Vol 65 (15) ◽  
pp. 4132-4145 ◽  
Author(s):  
Mikael Sorensen ◽  
Frederik Van Eeghem ◽  
Lieven De Lathauwer
Keyword(s):  
Multichannel Deconvolution

Localization accuracies for a moving source in an oceanic waveguide

1994 ◽  
Vol 96 (2) ◽  
pp. 1047-1055 ◽  
Author(s):  
John A. Fawcett ◽  
Brian H. Maranda
Keyword(s):  
Oceanic Waveguide ◽  
Moving Source

Optimal performance bounds for the classification of acoustic sources by depth in an oceanic waveguide

1998 ◽  
Vol 104 (3) ◽  
pp. 1809-1809 ◽  
Author(s):  
Stacy L. Tantum ◽  
Loren W. Nolte ◽  
Michael T. Wazenski
Keyword(s):  
Optimal Performance ◽  
Performance Bounds ◽  
Oceanic Waveguide ◽  
Acoustic Sources

Mean field of a sound wave propagating in an oceanic waveguide with random inhomogeneities

2004 ◽  
Vol 116 (4) ◽  
pp. 2610-2610
Author(s):  
Alexander G. Voronovich ◽  
Vladimir E. Ostashev
Keyword(s):  
Sound Wave ◽  
Mean Field ◽  
Oceanic Waveguide

3-D imaging of subsurface magnetic permeability/susceptibility with portable frequency domain electromagnetic sensors for near surface exploration

2019 ◽  
Vol 219 (3) ◽  
pp. 1773-1785 ◽  
Author(s):  
Julien Guillemoteau ◽  
François-Xavier Simon ◽  
Guillaume Hulin ◽  
Bertrand Dousteyssier ◽  
Marion Dacko ◽  
...  
Keyword(s):  
Magnetic Permeability ◽  
Field Data ◽  
Large Data ◽  
Archaeological Site ◽  
Phase Response ◽  
Magnetic Method ◽  
Data Sets ◽  
Near Surface ◽  
Inversion Procedure ◽  
Multichannel Deconvolution

SUMMARY The in-phase response collected by portable loop–loop electromagnetic induction (EMI) sensors operating at low and moderate induction numbers (≤1) is typically used for sensing the magnetic permeability (or susceptibility) of the subsurface. This is due to the fact that the in-phase response contains a small induction fraction and a preponderant induced magnetization fraction. The magnetization fraction follows the magneto-static equations similarly to the magnetic method but with an active magnetic source. The use of an active source offers the possibility to collect data with several loop–loop configurations, which illuminate the subsurface with different sensitivity patterns. Such multiconfiguration soundings thereby allows the imaging of subsurface magnetic permeability/susceptibility variations through an inversion procedure. This method is not affected by the remnant magnetization and theoretically overcomes the classical depth ambiguity generally encountered with passive geomagnetic data. To invert multiconfiguration in-phase data sets, we propose a novel methodology based on a full-grid 3-D multichannel deconvolution (MCD) procedure. This method allows us to invert large data sets (e.g. consisting of more than a hundred thousand of data points) for a dense voxel-based 3-D model of magnetic susceptibility subject to smoothness constraints. In this study, we first present and discuss synthetic examples of our imaging procedure, which aim at simulating realistic conditions. Finally, we demonstrate the applicability of our method to field data collected across an archaeological site in Auvergne (France) to image the foundations of a Gallo-Roman villa built with basalt rock material. Our synthetic and field data examples demonstrate the potential of the proposed inversion procedure offering new and complementary ways to interpret data sets collected with modern EMI instruments.

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