Spatio-temporal coding in complex media for optimum beamforming: the iterative time-reversal approach

2005 ◽  
Vol 52 (2) ◽  
pp. 220-230 ◽  
Author(s):  
G. Montaldo ◽  
J.-F. Aubry ◽  
M. Tanter ◽  
M. Fink
Keyword(s):  
Time Reversal ◽  
Temporal Coding ◽  
Complex Media ◽  
Spatio Temporal

scholarly journals From Loschmidt daemons to time-reversed waves

2016 ◽  
Vol 374 (2069) ◽  
pp. 20150156 ◽  
Author(s):  
Mathias Fink
Keyword(s):  
Wave Propagation ◽  
Time Reversal ◽  
Degrees Of Freedom ◽  
Point Of View ◽  
Propagation Time ◽  
Reversal Invariance ◽  
Spatial Boundary ◽  
Dual Approaches ◽  
Spatio Temporal

Time-reversal invariance can be exploited in wave physics to control wave propagation in complex media. Because time and space play a similar role in wave propagation, time-reversed waves can be obtained by manipulating spatial boundaries or by manipulating time boundaries. The two dual approaches will be discussed in this paper. The first approach uses ‘time-reversal mirrors’ with a wave manipulation along a spatial boundary sampled by a finite number of antennas. Related to this method, the role of the spatio-temporal degrees of freedom of the wavefield will be emphasized. In a second approach, waves are manipulated from a time boundary and we show that ‘instantaneous time mirrors’, mimicking the Loschmidt point of view, simultaneously acting in the entire space at once can also radiate time-reversed waves.

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

Bio-Inspired Dynamical Tools for Analyzing Cognition

2011 ◽  
pp. 256-261
Author(s):  
Manuel G. Bedia ◽  
Juan M. Corchado ◽  
Luis F. Castillo
Keyword(s):  
Intelligent Systems ◽  
Large Body ◽  
Temporal Coding ◽  
Experimental Investigations ◽  
Insect Brain ◽  
Volterra Systems ◽  
Sequential Memory ◽  
Spatio Temporal ◽  
The Relationship ◽  
Longterm Memory

The knowledge about higher brain centres in insects and how they affect the insect’s behaviour has increased significantly in recent years by theoretical and experimental investigations. Nowadays, a large body of evidence suggests that higher brain centres of insects are important for learning, short-term, longterm memory and play an important role for context generalisation (Bazhenof et al., 2001). Related to these subjects, one of the most interesting goals to achieve would be to understand the relationship between sequential memory encoding processes and the higher brain centres in insects in order to develop a general “insect-brain” control architecture to be implemented on simple robots. In this contribution, it is showed a review of the most important and recent results related to spatio-temporal coding and it is suggested the possibility to use continuous recurrent neural networks (CRNNs) (that can be used to model non-linear systems, in particular Lotka-Volterra systems) in order to find out a way to model simple cognitive systems from an abstract viewpoint. After showing the typical and interesting behaviors that emerge in appropriate Lotka- Volterra systems (in particular, winnerless competition processes) next sections deal with a brief discussion about the intelligent systems inspired in studies coming from the biology.

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

Spatio-temporal coding to improve speed and noise tolerance of on-chip interconnect

2010 ◽  
Vol 41 (8) ◽  
pp. 480-486
Author(s):  
Sébastien Pillement ◽  
Olivier Sentieys ◽  
Jean-Marc Philippe
Keyword(s):  
Temporal Coding ◽  
Noise Tolerance ◽  
Spatio Temporal ◽  
On Chip

Compressive network coding for wireless sensor networks: Spatio-temporal coding and optimization design

2016 ◽  
Vol 108 ◽  
pp. 345-356 ◽  
Author(s):  
Siguang Chen ◽  
Chuanxin Zhao ◽  
Meng Wu ◽  
Zhixin Sun ◽  
Haijun Zhang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Optimization Design ◽  
Temporal Coding ◽  
Wireless Sensor ◽  
Spatio Temporal
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