Xavier Mestre

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All published works

Action	Title	Year	Authors
+ PDF Chat	Available Degrees of Spatial Multiplexing of a Uniform Linear Array with Multiple Polarizations: a Holographic Perspective	2024	Xavier Mestre Adrián Agustín David Sarda
+ PDF Chat	Exploiting Multiple Polarizations in Extra Large Holographic MIMO	2024	Adrián Agustín Xavier Mestre
+ PDF Chat	Exploiting Multiple Polarizations in Extra Large Holographic MIMO	2024	Adrián Agustín Xavier Mestre
+ PDF Chat	Consistent Estimation of a Class of Distances Between Covariance Matrices	2024	Roberto Pereira Xavier Mestre David Gregoratti
+ PDF Chat	Deterministic Equivalent of the Log-Euclidean Distance Between Sample Covariance Matrices	2024	Xavier Mestre Roberto Pereira
+ PDF Chat	Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics	2024	Roberto Pereira Xavier Mestre
+ PDF Chat	Deterministic Equivalent of the Log-Euclidean Distance between Sample Covariance Matrices	2024	Xavier Mestre Roberto Pereira
+ PDF Chat	Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics	2024	Roberto Pereira Xavier Mestre
+ PDF Chat	Near-Field Beamfocusing with Polarized Antennas	2024	Adrián Agustín Xavier Mestre
+	Energy-Saving Cell-Free Massive MIMO Precoders with a per-AP Wideband Kronecker Channel Model	2024	Emanuele Peschiera Xavier Mestre François Rottenberg
+ PDF Chat	Asymptotics of Distances Between Sample Covariance Matrices	2024	Roberto Pereira Xavier Mestre David Gregoratti
+	Consistent Estimation of a Class of Distances Between Covariance Matrices	2024	Roberto Pereira Xavier Mestre David Gregoratti
+ PDF Chat	Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model	2023	Thomas Feys Xavier Mestre Emanuele Peschiera François Rottenberg
+ PDF Chat	Self-Supervised Learning of Linear Precoders Under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems	2023	Thomas Feys Xavier Mestre François Rottenberg
+	Consistent Estimators of a New Class of Covariance Matrix Distances in the Large Dimensional Regime	2023	Roberto Pereira Xavier Mestre David Gregoratti
+	Deep Unfolding for Fast Linear Massive MIMO Precoders under a PA Consumption Model	2023	Thomas Feys Xavier Mestre Emanuele Peschiera François Rottenberg
+	Energy-Saving Cell-Free Massive MIMO Precoders with a Per-AP Wideband Kronecker Channel Model	2023	Emanuele Peschiera Xavier Mestre François Rottenberg
+	Near-Field Beamfocusing with Polarized Antennas	2023	Adrián Agustín Xavier Mestre
+	Asymptotics of Distances Between Sample Covariance Matrices	2023	Roberto Pereira Xavier Mestre David Gregoratti
+ PDF Chat	User Clustering for Rate Splitting using Machine Learning	2022	Roberto Pereira Anay Ajit Deshpande Cristian J. Vaca-Rubio Xavier Mestre Andréa Zanella David Gregoratti Elisabeth de Carvalho Petar Popovski
+ PDF Chat	Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface	2022	Cristian J. Vaca-Rubio Roberto Pereira Xavier Mestre David Gregoratti Zheng‐Hua Tan Elisabeth de Carvalho Petar Popovski
+ PDF Chat	Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks	2022	Anay Ajit Deshpande Andréa Zanella Roberto Pereira Adriano Pastore Xavier Mestre Federico Chiariotti
+ PDF Chat	Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks	2022	Anay Ajit Deshpande Andréa Zanella Roberto Pereira Adriano Pastore Xavier Mestre Federico Chiariotti
+ PDF Chat	Clustering Complex Subspaces in Large Dimensions	2022	Roberto Pereira Xavier Mestre David Gregoratti
+ PDF Chat	Probability of Resolution of MUSIC and g-MUSIC: An Asymptotic Approach	2022	David Schenck Xavier Mestre Marius Pesavento
+	User Clustering for Rate Splitting using Machine Learning	2022	Roberto Pereira Anay Ajit Deshpande Cristian J. Vaca-Rubio Xavier Mestre Andréa Zanella David Gregoratti Elisabeth de Carvalho Petar Popovski
+	Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks	2022	Anay Ajit Deshpande Roberto Pereira Federico Chiariotti Adriano Pastore Xavier Mestre Andréa Zanella
+	Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface	2022	Cristian J. Vaca-Rubio Roberto Pereira Xavier Mestre David Gregoratti Zheng‐Hua Tan Elisabeth de Carvalho Petar Popovski
+	Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems	2022	Thomas Feys Xavier Mestre François Rottenberg
+ PDF Chat	On the asymptotic behavior of the eigenvalue distribution of block correlation matrices of high-dimensional time series	2021	Philippe Loubaton Xavier Mestre
+ PDF Chat	On the asymptotic behavior of the eigenvalue distribution of block correlation matrices of high-dimensional time series	2021	Philippe Loubaton Xavier Mestre
+	Exclusive Group Lasso for Structured Variable Selection.	2021	David Gregoratti Xavier Mestre Carlos Buelga
+ PDF Chat	Testing Uncorrelation of Multi-Antenna Signals Using Linear Spectral Statistics of the Spatio-Temporal Sample Autocorrelation Matrix	2021	Philippe Loubaton Xavier Mestre
+ PDF Chat	Probability of Resolution of MUSIC and g-MUSIC: An Asymptotic Approach	2021	David Schenck Xavier Mestre Marius Pesavento
+ PDF Chat	Asymptotic Spectral Behavior of Kernel Matrices in Complex Valued Observations	2021	Xavier Mestre Roberto Pereira David Gregoratti
+ PDF Chat	On the Detection of Low-Rank Signal in the Presence of Spatially Uncorrelated Noise: A Frequency Domain Approach	2021	Alexis Rosuel Philippe Loubaton Pascal Vallet Xavier Mestre
+	Exclusive Group Lasso for Structured Variable Selection	2021	David Gregoratti Xavier Mestre Carlos Buelga
+ PDF Chat	On The Frequency Domain Detection of High Dimensional Time Series	2020	Alexis Rosuel Pascal Vallet P. Loubaton Xavier Mestre
+	On the asymptotic behaviour of the eigenvalue distribution of block correlation matrices of high-dimensional time series	2020	Philippe Loubaton Xavier Mestre
+ PDF Chat	On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation	2020	Xavier Mestre Pascal Vallet Philippe Loubaton
+ PDF Chat	Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix	2017	Xavier Mestre Pascal Vallet
+	Spectral Convergence of Large Block-Hankel Gaussian Random Matrices	2017	Philippe Loubaton Xavier Mestre
+	Spectral Convergence of Large Block-Hankel Gaussian Random Matrices	2017	Philippe Loubaton Xavier Mestre
+ PDF Chat	Single-Tap Precoders and Decoders for Multiuser MIMO FBMC-OQAM Under Strong Channel Frequency Selectivity	2016	François Rottenberg Xavier Mestre François Horlin Jérôme Louveaux
+ PDF Chat	Uplink FBMC/OQAM-Based Multiple Access Channel: Distortion Analysis Under Strong Frequency Selectivity	2016	David Gregoratti Xavier Mestre
+ PDF Chat	Parallelized Structures for MIMO FBMC Under Strong Channel Frequency Selectivity	2015	Xavier Mestre David Gregoratti
+ PDF Chat	Performance Analysis of an Improved MUSIC DoA Estimator	2015	Pascal Vallet Xavier Mestre Philippe Loubaton
+ PDF Chat	Extended GLRT detectors of correlation and sphericity: The undersampled regime	2015	Xavier Mestre Pascal Vallet
+ PDF Chat	Asymptotic analysis of linear spectral statistics of the sample coherence matrix	2015	Xavier Mestre Pascal Vallet Walid Hachem
+	A CLT for an improved subspace estimator with observations of increasing dimensions	2015	Pascal Vallet Xavier Mestre Philippe Loubaton
+	White Paper: Radio y Redes Cognitivas	2015	Carles Antón‐Haro Luis Castedo Javier Del Ser Lorente Armin Dekorsy Miguel Egido Cortes Xavier Gelabert Lorenza Giupponi Xavier Mestre José F. Monserrat Carlos Mosquera
+	A CLT for an improved subspace estimator with observations of increasing dimensions	2015	Pascal Vallet Xavier Mestre Philippe Loubaton
+	Correlation Test for High Dimensional Data with Application to Signal Detection in Sensor Networks	2014	Xavier Mestre Pascal Vallet Walid Hachem
+ PDF Chat	THE OUTLIERS AMONG THE SINGULAR VALUES OF LARGE RECTANGULAR RANDOM MATRICES WITH ADDITIVE FIXED RANK DEFORMATION	2014	François Chapon Romain Couillet Walid Hachem Xavier Mestre
+	A subspace estimator for fixed rank perturbations of large random matrices	2012	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+ PDF Chat	A CLT on the SNR of Diagonally Loaded MVDR Filters	2012	Francisco R. Rubio Xavier Mestre Walid Hachem
+	On the isolated eigenvalues of large Gram random matrices with a fixed rank deformation	2012	François Chapon Romain Couillet Walid Hachem Xavier Mestre
+ PDF Chat	Performance Analysis and Optimal Selection of Large Minimum Variance Portfolios Under Estimation Risk	2012	Francisco R. Rubio Xavier Mestre Daniel P. Palomar
+	On the consistency of likelihood penalization methods in large sensor networks	2012	Pascal Vallet Philippe Loubaton Xavier Mestre
+ PDF Chat	Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case	2012	Pascal Vallet Philippe Loubaton Xavier Mestre
+	The outliers among the singular values of large rectangular random matrices with additive fixed rank deformation	2012	François Chapon Romain Couillet Walid Hachem Xavier Mestre
+ PDF Chat	LARGE INFORMATION PLUS NOISE RANDOM MATRIX MODELS AND CONSISTENT SUBSPACE ESTIMATION IN LARGE SENSOR NETWORKS	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	Large information plus noise random matrix models and consistent subspace estimation in large sensor networks	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	A Subspace Estimator for Fixed Rank Perturbations of Large Random Matrices	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	An improved music algorithm based on low rank perturbation of large random matrices	2011	Pascal Vallet Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım
+	Asymptotic analysis of a consistent subspace estimator for observations of increasing dimension	2011	Xavier Mestre Pascal Vallet Philippe Loubaton Walid Hachem
+ PDF Chat	Spectral convergence for a general class of random matrices	2011	Francisco R. Rubio Xavier Mestre
+	A Subspace Estimator for Fixed Rank Perturbations of Large Random Matrices	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	Large information plus noise random matrix models and consistent subspace estimation in large sensor networks	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates	2008	Xavier Mestre
+	On the Asymptotic Behavior of the Sample Estimates of Eigenvalues and Eigenvectors of Covariance Matrices	2008	Xavier Mestre
+	On the Asymptotic Behavior of the Sample Estimates of Eigenvalues and Eigenvectors of	2008	Covariance Matrices Xavier Mestre
+	Impact of CSI on Distributed Space-Time Coding in Wireless Relay Networks	2008	Mari Kobayashi Xavier Mestre
+ PDF Chat	Impact of CSI on Distributed Space-Time Coding in Wireless Relay Networks	2007	Mari Kobayashi Xavier Mestre
+	Analysis of Multi-Stage Receivers Under Finite Sample-Support	2006	Francisco Rubio Xavier Mestre

Common Coauthors

Coauthor	Papers Together
Philippe Loubaton	21
Pascal Vallet	20
Roberto Pereira	17
David Gregoratti	15
François Rottenberg	7
Walid Hachem	7
Jamal Najım	7
Walid Hachem	6
Andréa Zanella	5
Anay Ajit Deshpande	5
Adrián Agustín	5
Elisabeth de Carvalho	4
Cristian J. Vaca-Rubio	4
Thomas Feys	4
Emanuele Peschiera	4
Francisco Rubio	4
Petar Popovski	4
François Chapon	3
Romain Couillet	3
Adriano Pastore	3
Federico Chiariotti	3
Zheng‐Hua Tan	2
Mari Kobayashi	2
Alexis Rosuel	2
Marius Pesavento	2
Carlos Buelga	2
David Schenck	1
Daniel P. Palomar	1
Jon Arambarri	1
Miguel Egido Cortes	1
Armin Dekorsy	1
Miquel Soriano	1
Roberto Pereira	1
Liesbet Van der Perre	1
Xavier Gelabert	1
Javier Del Ser Lorente	1
Carlos Mosquera	1
Luis Castedo	1
François Horlin	1
Carles Antón‐Haro	1
P. Loubaton	1
Juan Antonio Romo	1
Walid Hachem	1
Covariance Matrices	1
David Sarda	1
José F. Monserrat	1
Lorenza Giupponi	1
David Schenck	1
Jérôme Louveaux	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices	1998	Zhidong Bai Jack W. Silverstein	17
+	Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices	1995	Jack W. Silverstein	15
+ PDF Chat	CLT for linear spectral statistics of large-dimensional sample covariance matrices	2004	Zhidong Bai Jack W. Silverstein	10
+ PDF Chat	Exact Separation of Eigenvalues of Large Dimensional Sample Covariance Matrices	1999	Zhidong Bai Jack W. Silverstein	9
+	On the Asymptotic Behavior of the Sample Estimates of Eigenvalues and Eigenvectors of Covariance Matrices	2008	Xavier Mestre	9
+ PDF Chat	A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels	2008	Walid Hachem Oleksiy Khorunzhiy Philippe Loubaton Jamal Najım L. А. Pastur	9
+ PDF Chat	Deterministic equivalents for certain functionals of large random matrices	2007	Walid Hachem Philippe Loubaton Jamal Najım	8
+ PDF Chat	LARGE INFORMATION PLUS NOISE RANDOM MATRIX MODELS AND CONSISTENT SUBSPACE ESTIMATION IN LARGE SENSOR NETWORKS	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet	8
+	The singular values and vectors of low rank perturbations of large rectangular random matrices	2012	Florent Benaych-Georges Raj Rao Nadakuditi	7
+	An inequality for the multivariate normal distribution	1982	Louis H. Y. Chen	7
+	Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates	2008	Xavier Mestre	7
+ PDF Chat	Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models.	2011	Philippe Loubaton Pascal Vallet	7
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	7
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	6
+ PDF Chat	Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case	2012	Pascal Vallet Philippe Loubaton Xavier Mestre	6
+	Eigenvalue Distribution of Large Random Matrices	2011	L. А. Pastur Mariya Shcherbina	6
+ PDF Chat	Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices	2005	Jinho Baik Gérard Ben Arous Sandrine Péché	6
+	Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices	1995	Jack W. Silverstein Sang Il Choi	6
+ PDF Chat	A new application of random matrices: Ext(C<sub>red</sub><sup>∗</sup>(F<sub>2</sub>)) is not a group	2005	Uffe Haagerup Steen Thorbjørnsen	5
+ PDF Chat	Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix	2017	Xavier Mestre Pascal Vallet	4
+ PDF Chat	The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations	2009	Mireille Capitaine Catherine Donati-Martin Delphine Féral	4
+	The estimation of frequency	1973	E. J. Hannan	4
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	4
+ PDF Chat	A Simple Approach to the Global Regime of Gaussian Ensembles of Random Matrices	2005	L. А. Pastur	4
+	Tests for non-correlation of two multivariate time series: a nonparametric approach	2003	Khalid El Himdi Roch Roy Pierre Duchesne	4
+ PDF Chat	A Rate Splitting Strategy for Massive MIMO with Imperfect CSIT	2016	Mingbo Dai Bruno Clerckx David Gesbert Giuseppe Caire	4
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson	4
+ PDF Chat	Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory	2011	Paola Bianchi Mérouane Debbah Marcello Maida Jamal Najım	4
+	Nonparametric Approach for Non-Gaussian Vector Stationary Processes	1996	Masanobu Taniguchi Madan L. Puri Masao Kondo	4
+	Basic Complex Analysis	1973	Jerrold E. Marsden	4
+ PDF Chat	Testing for independence between two covariance stationary time series	1996	Yongmiao Hong	4
+ PDF Chat	On bilinear forms based on the resolvent of large random matrices	2013	Walid Hachem Philippe Loubaton Jamal Najım Pascal Vallet	4
+	METHODOLOGIES IN SPECTRAL ANALYSIS OF LARGE DIMENSIONAL RANDOM MATRICES, A REVIEW	2008	Zhidong Bai	4
+	Some Tests of Independence for Stationary Multivariate Time Series	1971	Grace Wahba	4
+ PDF Chat	On asymptotics of eigenvectors of large sample covariance matrix	2007	Zhidong Bai Baojun Miao Guangming Pan	4
+	A New Approach for Capacity Analysis of Large Dimensional Multi-Antenna Channels	2006	Walid Hachem Oleksiy Khorunzhiy Philippe Loubaton Jamal Najım L. А. Pastur	4
+	A test for independence of two stationary infinite order autoregressive processes	2005	Eun Hee Kim Sangyeol Lee	3
+	An improved music algorithm based on low rank perturbation of large random matrices	2011	Pascal Vallet Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım	3
+ PDF Chat	On the Capacity Achieving Covariance Matrix for Rician MIMO Channels: An Asymptotic Approach	2010	Julien Dumont Walid Hachem Samson Lasaulce Philippe Loubaton Jamal Najım	3
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2011	Florent Benaych-Georges Raj Rao Nadakuditi	3
+ PDF Chat	Asymptotic Theory for Principal Component Analysis	1963	T. W. Anderson	3
+	The limiting distributions of eigenvalues of sample correlation matrices	2004	Tiefeng Jiang	3
+	Spectral Convergence of Large Block-Hankel Gaussian Random Matrices	2017	Philippe Loubaton Xavier Mestre	3
+	Asymptotics of eigenprojections of correlation matrices with some applications in principal components analysis	1997	Jean‐Jacques Schott	3
+	A subspace estimator for fixed rank perturbations of large random matrices	2012	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet	3
+ PDF Chat	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples	2008	Raj Rao Nadakuditi Alan Edelman	3
+	Random Matrix Theory and Wireless Communications	2004	Antonia M. Tulino Sergio Verdú	3
+ PDF Chat	The largest eigenvalue of small rank perturbations of Hermitian random matrices	2005	Sandrine Péché	3
+	On singular value distribution of large-dimensional autocovariance matrices	2015	Zeng Li Guangming Pan Jianfeng Yao	3
+	On the empirical distribution of eigenvalues of large dimensional information-plus-noise-type matrices	2006	R. Brent Dozier Jack W. Silverstein	3