310 citations
- Télécom ParisFR6 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- SupélecFR2 papers
- Université Paris NanterreFR2 papers
- Boston UniversityUS1 paper
- Hebrew University of JerusalemIL1 paper
- Institut Mines-TélécomFR1 paper
- Institut Polytechnique de ParisFR1 paper
- Institutt for Grafiske MedierNO1 paper
- Laboratoire de Mécanique et d’AcoustiqueFR1 paper
- Laboratoire de Probabilités et Modèles AléatoiresFR1 paper
16 papers
Asymptotic Independence in the Spectrum of the Gaussian Unitary Ensemble
P. Bianchi, M. Debbah, J. Najim
Consider a matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bounded disjoint real Borel sets , properly rescale…
Forgetting of the initial distribution for non-ergodic Hidden Markov Chains
Elisabeth Gassiat, Benoit Landelle, Eric Moulines
In this paper, the forgetting of the initial distribution for a non-ergodic Hidden Markov Models (HMM) is studied. A new set of conditions is proposed to establish the forgetting p…
A Central Limit Theorem for the SINR at the LMMSE Estimator Output for Large Dimensional Signals
Abla Kammoun, Malika Kharouf, Walid Hachem +1
This paper is devoted to the performance study of the Linear Minimum Mean Squared Error estimator for multidimensional signals in the large dimension regime. Such an estimator is f…
A Reconfigurable Programmable Logic Block for a Multi-Style Asynchronous FPGA resistant to Side-Channel Attacks
Philippe Hoogvorst, Sylvain Guilley, Sumanta Chaudhuri +3
Side-channel attacks are efficient attacks against cryptographic devices. They use only quantities observable from outside, such as the duration and the power consumption. Attacks…
Cooperative Spectrum Sensing Using Random Matrix Theory
L. S. Cardoso, M. Debbah, P. Bianchi +1
In this paper, using tools from asymptotic random matrix theory, a new cooperative scheme for frequency band sensing is introduced for both AWGN and fading channels. Unlike previou…
Adaptive methods for sequential importance sampling with application to state space models
Julien Cornebise, Eric Moulines, Jimmy Olsson
In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on criteria evaluating the quality of the p…