Improved time reversal focusing in complex media with inverse filter.

2008 ◽  
Vol 124 (4) ◽  
pp. 2551-2551
Author(s):  
Thomas Callaghan ◽  
George Papanicolaou
Keyword(s):  
Time Reversal ◽  
Complex Media ◽  
Inverse Filter

Comparison between time reversal and spatio‐temporal inverse filter application to focusing through a human skull

2001 ◽  
Vol 109 (5) ◽  
pp. 2397-2397
Author(s):  
Mickael Tanter ◽  
Jean‐Francois Aubry ◽  
Jean‐Louis Thomas ◽  
Mathias Fink
Keyword(s):  
Time Reversal ◽  
Inverse Filter ◽  
Human Skull ◽  
Spatio Temporal

Time-Reversal for Electromagnetic Waves in Complex Media

2003 ◽  
Author(s):  
Jean-Pierre Fouque ◽  
Mansoor A. Haider
Keyword(s):  
Time Reversal ◽  
Electromagnetic Waves ◽  
Complex Media

The stokes relations linking time reversal and the inverse filter

2005 ◽  
Author(s):  
F. Vignon ◽  
A. Saez ◽  
J.F. Aubry ◽  
M. Tanter ◽  
M. Fink
Keyword(s):  
Time Reversal ◽  
Inverse Filter

scholarly journals Constrained Power Focusing in Inhomogeneous Media as a Polarization Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Domenica Anna Maria Iero
Keyword(s):  
Parallel Programming ◽  
Open Problem ◽  
Time Reversal ◽  
Vector Fields ◽  
Search Algorithm ◽  
Scalar Fields ◽  
Inhomogeneous Media ◽  
Target Point ◽  
Inverse Filter ◽  
Global Search Algorithm

The problem of focusing a field into inhomogeneous media is a canonic open problem relevant in many engineering areas. Several approaches have been developed, for example, Time Reversal, Inverse Filter, and Eigenvalues approach, but they suffer from several drawbacks which are counteracted by Optimal Constrained Power Focusing (OCPF) technique. OCPF was first introduced to deal with scalar fields and, recently, it has been extended to tackle the problem of focusing vector fields. In particular, the proposed approach allows reducing the focusing problem, which is NP-hard in case of vector fields, to a series of convex programming (CP) ones. In this paper, an alternative OCPF formulation is presented, which consists in the research of the most suitable polarization of the field into the target point and relies on the convexity of the problem when fixing this polarization. Such a result allows the development of two different solution procedures: an enumerative one that can take advantage of parallel programming in order to explore all possible polarizations and hybrid one which relies on the exploitation of global search algorithm just to solve the nonconvex part of the problem at hand.

Real time inverse filter focusing through iterative time reversal

2004 ◽  
Vol 115 (2) ◽  
pp. 768-775 ◽  
Author(s):  
Gabriel Montaldo ◽  
Mickaël Tanter ◽  
Mathias Fink
Keyword(s):  
Real Time ◽  
Time Reversal ◽  
Inverse Filter

Real time inverse filter focusing by iterative time reversal

2002 ◽  
Vol 112 (5) ◽  
pp. 2446-2446 ◽  
Author(s):  
Gabriel Montaldo ◽  
Mickael Tanter ◽  
Mathias Fink
Keyword(s):  
Real Time ◽  
Time Reversal ◽  
Inverse Filter

Comparison Between Time Reversal and Inverse Filter Focusing

2006 ◽  
pp. 101-108
Author(s):  
Jean-François Aubry ◽  
Mickaël Tanter ◽  
Jean-Louis Thomas ◽  
Mathias Fink
Keyword(s):  
Time Reversal ◽  
Inverse Filter
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