activity
20102025
most citedImproved subspace estimation for multivariate observations of high dimension: the deterministic signals case

96 citations · 188 across the 13 of their papers we have counts for

collaborators

13 papers

math.ST2025

Correlation tests and sample spectral coherence matrix in the high-dimensional regime

Philippe Loubaton, Alexis Rosuel, Pascal Vallet

It is established that the linear spectral statistics (LSS) of the smoothed periodogram estimate of the spectral coherence matrix of a complex Gaussian high-dimensional times serie…

math.ST2021

On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime

Alexis Rosuel, Philippe Loubaton, Pascal Vallet

We investigate the asymptotic distribution of the maximum of a frequency smoothed estimate of the spectral coherence of a M-variate complex Gaussian time series with mutually indep…

cs.IT2021★ 9 cited

On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach

Alexis Rosuel, Philippe Loubaton, Pascal Vallet +1

This paper analyzes the detection of a M-dimensional useful signal modeled as the output of a M xK MIMO filter driven by a K-dimensional white Gaussian noise, and corrupted by a M-…

eess.SP2020★ 37 cited

On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation

Xavier Mestre, Pascal Vallet

After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) algorithms still provide the best performance in terms of resolution capabilities.…

cs.IT2020

On the frequency domain detection of high dimensional time series

A Rosuel, P. Vallet, P Loubaton +1

In this paper, we address the problem of detection, in the frequency domain, of a M-dimensional time series modeled as the output of a M x K MIMO filter driven by a K-dimensional G…

stat.AP2015★ 1 cited

Performance analysis of an improved MUSIC DoA estimator

Pascal Vallet, Xavier Mestre, Philippe Loubaton

This paper adresses the statistical performance of subspace DoA estimation using a sensor array, in the asymptotic regime where the number of samples and sensors both converge to i…