International audienceThis paper introduces a new method to estimate the power transmitted by multiple signal sources, when the number of sensing devices and the available samples are sufficiently large compared to the number of sources. This work makes use of recent advances in the field of random matrix theory that prove more efficient than previous ``moment-based'' approaches to the problem of multi-source power detection. Simulations are performed which corroborate the theoretical claims
Abstract: In many situations, telecommunication engineers are faced with the prob-lem of extracting ...
The first part of the dissertation investigates the application of the theory of large random matric...
International audienceIn many situations, telecommunication engineers are faced with the problem of ...
International audienceThis paper introduces a new method to estimate the power transmitted by multip...
International audienceIn this paper, a new method is introduced to blindly estimate the transmit pow...
Abstract—This paper introduces a new method to blindly estimate the transmit power of multiple signa...
Abstract—In this article, a general information-plus-noise transmission model is assumed, the receiv...
International audienceThis paper introduces a Bayesian framework to detect multiple signals embedded...
In this contribution, we provide a theoretical study of two hypothesis tests allowing to detect the ...
Abstract—This paper introduces a Bayesian framework to detect multiple signals embedded in noisy obs...
none2Inferring the presence of signal sources plays an important role in statistical signal processi...
International audienceMost statistical inference methods for array processing assume an array of siz...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
We propose a simple algorithm for improving the MDL (minimum description length) estimator of the nu...
International audienceThis paper introduces a unified framework for the detection of a single source...
Abstract: In many situations, telecommunication engineers are faced with the prob-lem of extracting ...
The first part of the dissertation investigates the application of the theory of large random matric...
International audienceIn many situations, telecommunication engineers are faced with the problem of ...
International audienceThis paper introduces a new method to estimate the power transmitted by multip...
International audienceIn this paper, a new method is introduced to blindly estimate the transmit pow...
Abstract—This paper introduces a new method to blindly estimate the transmit power of multiple signa...
Abstract—In this article, a general information-plus-noise transmission model is assumed, the receiv...
International audienceThis paper introduces a Bayesian framework to detect multiple signals embedded...
In this contribution, we provide a theoretical study of two hypothesis tests allowing to detect the ...
Abstract—This paper introduces a Bayesian framework to detect multiple signals embedded in noisy obs...
none2Inferring the presence of signal sources plays an important role in statistical signal processi...
International audienceMost statistical inference methods for array processing assume an array of siz...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
We propose a simple algorithm for improving the MDL (minimum description length) estimator of the nu...
International audienceThis paper introduces a unified framework for the detection of a single source...
Abstract: In many situations, telecommunication engineers are faced with the prob-lem of extracting ...
The first part of the dissertation investigates the application of the theory of large random matric...
International audienceIn many situations, telecommunication engineers are faced with the problem of ...