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Palabras claves o descriptores: STOCHASTIC FLOW (Comienzo)
2 registros cumplieron la condición especificada en la base de información bciucla. ()
Registro 1 de 2, Base de información bciucla
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Papanicolaou, George ; Ryzhik, Leonid ; Solna, Knut
Título: Statistical Stability in Time Reversal
Páginas/Colación: pp. 1133 - 1155
Url: Ir a http://epubs.siam.org/sam-bin/dbq/article/41110http://epubs.siam.org/sam-bin/dbq/article/41110
SIAM Journal on Applied Mathematics Vol. 64, no. 4 April/June 2004
Información de existenciaInformación de existencia

Palabras Claves: Palabras: LIOUVILLE--ITO EQUATION LIOUVILLE--ITO EQUATION, Palabras: RANDOM MEDIUM RANDOM MEDIUM, Palabras: STOCHASTIC FLOW STOCHASTIC FLOW, Palabras: TIME REVERSAL TIME REVERSAL, Palabras: WAVE PROPAGATION WAVE PROPAGATION

Resumen
When a signal is emitted from a source, recorded by an array of transducers, time-reversed, and re-emitted into the medium, it will refocus approximately on the source location. We analyze the refocusing resolution in a high frequency remote-sensing regime and show that, because of multiple scattering in an inhomogeneous or random medium, it can improve beyond the diffraction limit. We also show that the back-propagated signal from a spatially localized narrow-band source is self-averaging, or statistically stable, and relate this to the self-averaging properties of functionals of the Wigner distribution in phase space. Time reversal from spatially distributed sources is self-averaging only for broad-band signals. The array of transducers operates in a remote-sensing regime, so we analyze time reversal with the parabolic or paraxial wave equation.

Registro 2 de 2, Base de información bciucla
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Piterbarg, Leonid I.
Título: The Top Lyapunov Exponent for a Stochastic Flow Modeling the Upper Ocean Turbulence
Páginas/Colación: pp. 777-800
Url: Ir a http://siamdl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=SMJMAP000062000003000777000001&idtype=cvips&gifs=Yeshttp://siamdl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=SMJMAP000062000003000777000001&idtype=cvips&gifs=Yes
SIAM Journal on Applied Mathematics Vol. 62, no. 3 Dec. 2001/Feb. 2002
Información de existenciaInformación de existencia

Palabras Claves: Palabras: STOCHASTIC FLOW STOCHASTIC FLOW

Resumen
Resumen

Resumen

A stochastic model is proposed for multiparticle Lagrangian motion in the upper ocean. The model is based on hydrodynamics equations with random forcing, includes a few well interpreted and well estimated parameters, and implies a common description of the one-particle motion via a Langevin equation for the particle velocity. The dependence of the top Lyapunov exponent on the model parameters is studied as a part of a Lagrangian predictability problem. In particular, it is found that the Coriolis effect can radically improve the prediction of a Lagrangian particle position based on observations of other particles.

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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