Inversion of 2D geoelectrical data by iterated multichannel deconvolution

2005 ◽  
pp. 217-240 ◽  
Author(s):  
Ingelise Møller
Keyword(s):  
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

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

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.

Multichannel deconvolution of vibrational signals: A state-space inverse filtering approach

2021 ◽  
Vol 149 (3) ◽  
pp. 1749-1763
Author(s):  
J. V. Candy ◽  
K. A. Fisher ◽  
B. A. Markowicz ◽  
D. J. Paulsen
Keyword(s):  
State Space ◽  
Inverse Filtering ◽  
Vibrational Signals ◽  
Multichannel Deconvolution ◽  
Filtering Approach

Extracting the Response of the Bay Bridge, California, from the Application of Multichannel Deconvolution to Earthquake-Induced Shaking

2020 ◽  
Vol 110 (2) ◽  
pp. 556-564 ◽  
Author(s):  
Jing Jian ◽  
Roel Snieder ◽  
Nori Nakata
Keyword(s):  
Structural Response ◽  
Transverse Motion ◽  
Response Functions ◽  
Structural Units ◽  
Deconvolution Problem ◽  
Engineered Structures ◽  
Ill Posed ◽  
Multichannel Deconvolution ◽  
The Waves ◽  
Western Half

ABSTRACT Engineered structures, such as bridges, are excited by earthquakes at the base of the towers and the endpoint of decks. The different structural units of bridges, such as the towers and decks, are coupled. We extract the response of the towers and decks of the Bay Bridge in California from the motion of the bridge that is caused by earthquakes. This constitutes a multichannel deconvolution problem, which is, in general, ill-posed. We use the redundancy of the western half of the Bay Bridge, with near-identical towers and decks, to estimate the response of the upper towers, lower towers, and decks, from the transverse motion recorded in the bridge after four earthquakes. The extracted response functions for the four earthquakes show consistent wave arrivals that correspond to the waves that propagate through the towers and the decks. This method can, in principle, be used to monitor changes in the structural response.

Joint detection-estimation of brain activity in functional MRI: a Multichannel Deconvolution solution

2005 ◽  
Vol 53 (9) ◽  
pp. 3488-3502 ◽  
Author(s):  
S. Makni ◽  
P. Ciuciu ◽  
J. Idier ◽  
J.-B. Poline
Keyword(s):  
Functional Mri ◽  
Brain Activity ◽  
Joint Detection ◽  
Multichannel Deconvolution

scholarly journals Joint Multichannel Deconvolution and Blind Source Separation

2017 ◽  
Vol 10 (4) ◽  
pp. 1997-2021 ◽  
Author(s):  
Ming Jiang ◽  
Jérôme Bobin ◽  
Jean-Luc Starck
Keyword(s):  
Blind Source Separation ◽  
Source Separation ◽  
Multichannel Deconvolution
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