International audienceThis paper addresses the performance analysis of two GLRT receivers in the case where the number of sensors M is of the same order of magnitude as the sample size N. In the asymptotic regime where M and N converge towards ∞ at the same rate, the corresponding asymptotic means and variances are characterized using large random matrix theory, and compared to the standard situation where N → +∞ and M is fixed. This asymptotic analysis allows to understand the behavior of the considered receivers, even for relatively small values of N and M
The generalized likelihood ratio test (GLRT) is widely used in signal processing applications such a...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
In this correspondence we consider the detection of a constant signal in noise with a large set of g...
International audienceThis paper addresses the performance analysis of two GLRT receivers in the cas...
International audience— This paper addresses the behaviour of a classical multi-antenna GLRT test th...
International audienceThis paper addresses the behaviour of a classical multi-antenna GLR test that ...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
The problem of correlation detection of multivariate Gaussian observations is considered. The proble...
In this contribution, we provide a theoretical study of two hypothesis tests allowing to detect the ...
International audienceThis paper introduces a unified framework for the detection of a single source...
Correlation tests of multiple Gaussian signals are typically formulated as linear spectral statistic...
International audienceThe asymptotic statistical resolution limit (SRL), denoted by δ, characterizin...
Detecting the presence of one or multiple signals with unknown spatial signature can be addressed by...
The problems of sensor configuration and activation for the detection of correlated random fields us...
We consider a distributed detection problem where sensors are deployed to obtain information about a...
The generalized likelihood ratio test (GLRT) is widely used in signal processing applications such a...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
In this correspondence we consider the detection of a constant signal in noise with a large set of g...
International audienceThis paper addresses the performance analysis of two GLRT receivers in the cas...
International audience— This paper addresses the behaviour of a classical multi-antenna GLRT test th...
International audienceThis paper addresses the behaviour of a classical multi-antenna GLR test that ...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
The problem of correlation detection of multivariate Gaussian observations is considered. The proble...
In this contribution, we provide a theoretical study of two hypothesis tests allowing to detect the ...
International audienceThis paper introduces a unified framework for the detection of a single source...
Correlation tests of multiple Gaussian signals are typically formulated as linear spectral statistic...
International audienceThe asymptotic statistical resolution limit (SRL), denoted by δ, characterizin...
Detecting the presence of one or multiple signals with unknown spatial signature can be addressed by...
The problems of sensor configuration and activation for the detection of correlated random fields us...
We consider a distributed detection problem where sensors are deployed to obtain information about a...
The generalized likelihood ratio test (GLRT) is widely used in signal processing applications such a...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
In this correspondence we consider the detection of a constant signal in noise with a large set of g...