Search Results - "Najim, Jamal"
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Non-Hermitian Random Matrices with a Variance Profile (II): Properties and Examples
Published in Journal of theoretical probability (01-12-2022)“…For each n , let A n = ( σ ij ) be an n × n deterministic matrix and let X n = ( X ij ) be an n × n random matrix with i.i.d. centered entries of unit…”
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A Survey on the Eigenvalues Local Behavior of Large Complex Correlated Wishart Matrices
Published in ESAIM. Proceedings and surveys (01-10-2015)“…The aim of this note is to provide a pedagogical survey of the recent works [30, 31] concerning the local behavior of the eigenvalues of large complex…”
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3
Feasibility of sparse large Lotka-Volterra ecosystems
Published in Journal of mathematical biology (01-12-2022)“…Consider a large ecosystem (foodweb) with n species, where the abundances follow a Lotka–Volterra system of coupled differential equations. We assume that each…”
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GAUSSIAN FLUCTUATIONS FOR LINEAR SPECTRAL STATISTICS OF LARGE RANDOM COVARIANCE MATRICES
Published in The Annals of applied probability (01-06-2016)“…Consider a N × n matrix $\sum\nolimits_n { = \frac{1}{{\sqrt n }}R_n^{1/2}{X_n}} $, where Rn is a nonnegative definite Hermitian matrix and Xn is a random…”
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Equilibrium in a large Lotka–Volterra system with pairwise correlated interactions
Published in Stochastic processes and their applications (01-11-2022)“…Consider a Lotka–Volterra (LV) system of coupled differential equations: ẋk=xk(rk−xk+(Bx)k),x=(xk),1≤k≤n,where r=(rk) is a n×1 vector and B a n×n matrix…”
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Equilibria of large random Lotka–Volterra systems with vanishing species: a mathematical approach
Published in Journal of mathematical biology (01-12-2024)“…Ecosystems with a large number of species are often modelled as Lotka–Volterra dynamical systems built around a large interaction matrix with random part…”
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Equilibrium and surviving species in a large Lotka–Volterra system of differential equations
Published in Journal of mathematical biology (01-07-2023)“…Lotka–Volterra (LV) equations play a key role in the mathematical modeling of various ecological, biological and chemical systems. When the number of species…”
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8
Deterministic Equivalents for Certain Functionals of Large Random Matrices
Published in The Annals of applied probability (01-06-2007)“…Consider an N × n random matrix $Y_{n}=(Y_{ij}^{n})$ where the entries are given by $Y_{ij}^{n}={\textstyle\frac{\sigma _{ij}(n)}{\sqrt{n}}}X_{ij}^{n}$, the…”
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Impact of a block structure on the Lotka-Volterra model
Published in Peer community journal (04-09-2024)“…The Lotka-Volterra (LV) model is a simple, robust, and versatile model used to describe large interacting systems such as food webs or microbiomes. The model…”
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10
LARGE COMPLEX CORRELATED WISHART MATRICES: FLUCTUATIONS AND ASYMPTOTIC INDEPENDENCE AT THE EDGES
Published in The Annals of probability (01-05-2016)“…We study the asymptotic behavior of eigenvalues of large complex correlated Wishart matrices at the edges of the limiting spectrum. In this setting, the…”
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11
Cooperative spectrum sensing using random matrix theory
Published in 2008 3rd International Symposium on Wireless Pervasive Computing (01-05-2008)“…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…”
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Conference Proceeding -
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Non-Hermitian random matrices with a variance profile (I): deterministic equivalents and limiting ESDs
Published in Electronic journal of probability (01-01-2018)“…For each n, let An = (σij) be an n × n deterministic matrix and let Xn = (Xij) be an n × n random matrix with i.i.d. centered entries of unit variance. We…”
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13
Large complex correlated Wishart matrices: the Pearcey kernel and expansion at the hard edge
Published in Electronic journal of probability (01-01-2016)“…We study the eigenvalue behaviour of large complex correlated Wishart matrices near an interior point of the limiting spectrum where the density vanishes (cusp…”
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14
Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory
Published in IEEE transactions on information theory (01-04-2011)“…This paper introduces a unified framework for the detection of a single source with a sensor array in the context where the noise variance and the channel…”
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15
Positive Solutions for Large Random Linear Systems
Published in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2020)“…Consider a large linear system with random underlying matrix: x n = 1 n + 1/(α n √β n )M n x n , where x n is the unknown, 1 n is a vector of ones, M n is a…”
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Conference Proceeding -
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A CLT for Information-Theoretic Statistics of Gram Random Matrices with a Given Variance Profile
Published in The Annals of applied probability (01-12-2008)“…Consider an N × n random matrix $Y_{n}=(Y_{ij}^{n})$ with entries given by $Y_{ij}^{n}=\frac{\sigma _{ij}(n)}{\sqrt{n}}X_{ij}^{n}$, the $X_{ij}^{n}$ being…”
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A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels
Published in IEEE transactions on information theory (01-09-2008)“…This paper adresses the behavior of the mutual information of correlated multiple-input multiple-output (MIMO) Rayleigh channels when the numbers of transmit…”
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On the Capacity Achieving Covariance Matrix for Rician MIMO Channels: An Asymptotic Approach
Published in IEEE transactions on information theory (01-03-2010)“…In this paper, the capacity-achieving input covariance matrices for coherent block-fading correlated multiple input multiple output (MIMO) Rician channels are…”
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Eigenvalue Estimation of Parametrized Covariance Matrices of Large Dimensional Data
Published in IEEE transactions on signal processing (01-11-2012)“…This paper deals with the problem of estimating the covariance matrix of a series of independent multivariate observations, in the case where the dimension of…”
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Eigenvalue Estimation of Parameterized Covariance Matrices of Large Dimensional Data
Published in IEEE transactions on signal processing (01-11-2012)“…This article deals with the problem of estimating the covariance matrix of a series of independent multivariate observations, in the case where the dimension…”
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