Add to ORKGThe landmark contributions to the theory of random matrices of Wishart (1928), Wigner (1955), and Marcenko and Pastur (1967), were motivated to a large extent by their applications. In this paper we report on a new transform motivated by the application of random matrices to various problems in the information theory of noisy communication channels
By comparing Wiener‘sMMSE on stochastic signal transmission with Shannon’s mutual information first ...
Abstract. Balian’s program of assigning a probability distribution to a random matrix is exploited t...
The exact and simple distributions of finite random matrix theory (FRMT) are critically important fo...
The landmark contributions to the theory of random matrices of Wishart (1928), Wigner (1955), and Ma...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
This work introduces an effective approach to derive the marginal density distribution of an unorder...
Large random matrix theory is a powerful mathematical tool used to study the performance of multi-us...
Abstract — The open problem of calculating the limiting spec-trum (or its Shannon transform) of incr...
International audienceThis book introduces the field of random matrix theory and particularly of lar...
In the last few years, the asymptotic distribution of the singular values of certain random matrices...
AbstractBehaviour of the eigenvalues of random matrices with an underlying linear structure is inves...
This work gives an overview of analytic tools for the design, analysis, and modelling of com-municat...
The use of multi-antenna arrays in wireless communications through disordered media promises huge in...
Using large-dimensional random matrix theory (RMT), we conduct mutual information analysis of a mult...
By comparing Wiener‘sMMSE on stochastic signal transmission with Shannon’s mutual information first ...
Abstract. Balian’s program of assigning a probability distribution to a random matrix is exploited t...
The exact and simple distributions of finite random matrix theory (FRMT) are critically important fo...
The landmark contributions to the theory of random matrices of Wishart (1928), Wigner (1955), and Ma...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
This work introduces an effective approach to derive the marginal density distribution of an unorder...
Large random matrix theory is a powerful mathematical tool used to study the performance of multi-us...
Abstract — The open problem of calculating the limiting spec-trum (or its Shannon transform) of incr...
International audienceThis book introduces the field of random matrix theory and particularly of lar...
In the last few years, the asymptotic distribution of the singular values of certain random matrices...
AbstractBehaviour of the eigenvalues of random matrices with an underlying linear structure is inves...
This work gives an overview of analytic tools for the design, analysis, and modelling of com-municat...
The use of multi-antenna arrays in wireless communications through disordered media promises huge in...
Using large-dimensional random matrix theory (RMT), we conduct mutual information analysis of a mult...
By comparing Wiener‘sMMSE on stochastic signal transmission with Shannon’s mutual information first ...
Abstract. Balian’s program of assigning a probability distribution to a random matrix is exploited t...
The exact and simple distributions of finite random matrix theory (FRMT) are critically important fo...