Mathematical Sciences Research Institute PublicationsThe imaging of a small target embedded in a medium is a central problemin sensor array imaging. The goal is to find a target embedded in a medium.The medium is probed by an array of sources, and the signals backscatteredby the target are recorded by an array of receivers. The responses betweenall pairs of source and receiver are collected so that the available informationtakes the form of a response matrix. When the data are corrupted by additivemeasurement noise we show how tools of random matrix theory can help todetect, localize, and characterize the target
International audienceFor a long time, detection and parameter estimation methods for signal process...
This paper deals with the problem of estimating signal parameters using an array of sensors. This pr...
We consider the inverse problem of array imaging of active sources (targets) in randomly inhomogeneo...
Mathematical Sciences Research Institute PublicationsThe imaging of a small target embedded in a med...
Echoes from small reflectors buried in heavy clutter are weak and difficult to distinguish from the ...
Thesis: Ph. D., Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of T...
International audienceMost statistical inference methods for array processing assume an array of siz...
AbstractThis investigation aimed to one common key issue of the two imaging types, the sampling of t...
Applications of random matrix theory to array processing estimation problems with low sample size: D...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
Compressed sensing is a new sampling theory which allows reconstructing signals using sub-Nyquist me...
We consider the problem of selective imaging extended reflectors in cluttered media. We propose a ra...
This paper derives bounds on the performance of statistical object recognition systems, wherein an i...
International audienceIn array processing, a common problem is to estimate the angles of arrival of ...
Traditional signal processing architectures are usually de-signed to perform well in large sample si...
International audienceFor a long time, detection and parameter estimation methods for signal process...
This paper deals with the problem of estimating signal parameters using an array of sensors. This pr...
We consider the inverse problem of array imaging of active sources (targets) in randomly inhomogeneo...
Mathematical Sciences Research Institute PublicationsThe imaging of a small target embedded in a med...
Echoes from small reflectors buried in heavy clutter are weak and difficult to distinguish from the ...
Thesis: Ph. D., Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of T...
International audienceMost statistical inference methods for array processing assume an array of siz...
AbstractThis investigation aimed to one common key issue of the two imaging types, the sampling of t...
Applications of random matrix theory to array processing estimation problems with low sample size: D...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
Compressed sensing is a new sampling theory which allows reconstructing signals using sub-Nyquist me...
We consider the problem of selective imaging extended reflectors in cluttered media. We propose a ra...
This paper derives bounds on the performance of statistical object recognition systems, wherein an i...
International audienceIn array processing, a common problem is to estimate the angles of arrival of ...
Traditional signal processing architectures are usually de-signed to perform well in large sample si...
International audienceFor a long time, detection and parameter estimation methods for signal process...
This paper deals with the problem of estimating signal parameters using an array of sensors. This pr...
We consider the inverse problem of array imaging of active sources (targets) in randomly inhomogeneo...