Pascal Vallet

36 papers B 1Misc 8Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
On the Endmembers Detection for Hyperspectral Imaging in the High-Dimensional Regime.
EUSIPCO
H. Jeannin, Florent Bouchard, Pascal Vallet, Guillaume Ginolhac, Audrey Giremus
2024 J jnl
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models.
IEEE Trans. Signal Process.
Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac
2023 J jnl
On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime.
J. Multivar. Anal.
Philippe Loubaton, Alexis Rosuel, Pascal Vallet
2021 — conf
Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models.
SSP
Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac
2021 J jnl
On the Detection of Low-Rank Signal in the Presence of Spatially Uncorrelated Noise: A Frequency Domain Approach.
IEEE Trans. Signal Process.
Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre
2021 J jnl
On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach.
CoRR
Alexis Rosuel, Philippe Loubaton, Pascal Vallet, Xavier Mestre
2020 Misc conf
On The Frequency Domain Detection of High Dimensional Time Series.
ICASSP
Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre
2020 J jnl
On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation.
IEEE Trans. Signal Process.
Xavier Mestre, Pascal Vallet
2020 J jnl
On the frequency domain detection of high dimensional time series.
CoRR
Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre
2019 Misc conf
An Improved Low Rank Detector in the High Dimensional Regime.
ICASSP
Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2019 — conf
Performance Analysis of a Low-Rank Detector Under Training Data Contamination.
CAMSAP
Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2017 J jnl
Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix.
IEEE Trans. Inf. Theory
Xavier Mestre, Pascal Vallet
2017 J jnl
On the Performance of MUSIC With Toeplitz Rectification in the Context of Large Arrays.
IEEE Trans. Signal Process.
Pascal Vallet, Philippe Loubaton
2016 — conf
On the statistical performance of music for distributed sources.
SSP
O. Najim, Pascal Vallet, Guillaume Ferré, Xavier Mestre
2016 J jnl
Performance Analysis of Spatial Smoothing Schemes in the Context of Large Arrays.
IEEE Trans. Signal Process.
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
2016 J jnl
Une méthode MUSIC adaptée aux grands réseaux de capteurs.
Traitement du Signal
Pascal Vallet, Philippe Loubaton, Xavier Mestre
2015 Misc conf
A statistical comparison between music and G-music.
ICASSP
Pascal Vallet, Philippe Loubaton, Xavier Mestre
2015 Misc conf
Asymptotic analysis of linear spectral statistics of the sample coherence matrix.
ICASSP
Xavier Mestre, Pascal Vallet, Walid Hachem
2015 Misc conf
Combining two phase codes to extend the radar unambiguous range and get a trade-off in terms of performance for any clutter.
ICASSP
Timothee Rouffet, Éric Grivel, Pascal Vallet, Cyrille Enderli, Stéphane Kemkemian
2015 — conf
Extended GLRT detectors of correlation and sphericity: The undersampled regime.
EUSIPCO
Xavier Mestre, Pascal Vallet
2015 J jnl
Performance Analysis of an Improved MUSIC DoA Estimator.
IEEE Trans. Signal Process.
Pascal Vallet, Xavier Mestre, Philippe Loubaton
2015 Misc conf
Performance analysis of spatial smoothing schemes in the context of large arrays.
ICASSP
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
2015 J jnl
Performance analysis of spatial smoothing schemes in the context of large arrays.
CoRR
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
2014 — conf
Asymptotic analysis of beamspace-MUSIC in the context of large arrays.
SAM
Pascal Vallet, Xavier Mestre, Philippe Loubaton, Romain Couillet
2014 — conf
Correlation test for high dimensional data with application to signal detection in sensor networks.
EUSIPCO
Xavier Mestre, Pascal Vallet, Walid Hachem
2014 Misc conf
Toeplitz rectification and DOA estimation with music.
ICASSP
Pascal Vallet, Philippe Loubaton
2013 J jnl
A subspace estimator for fixed rank perturbations of large random matrices.
J. Multivar. Anal.
Walid Hachem, Philippe Loubaton, Xavier Mestre, Jamal Najim, Pascal Vallet
2013 — conf
On the resolution probability of conditional and unconditional maximum likelihood DOA estimation.
EUSIPCO
Xavier Mestre, Pascal Vallet, Philippe Loubaton
2012 — conf
A CLT for the G-MUSIC DoA estimator.
EUSIPCO
Pascal Vallet, Xavier Mestre, Philippe Loubaton
2012 J jnl
Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case.
IEEE Trans. Inf. Theory
Pascal Vallet, Philippe Loubaton, Xavier Mestre
2012 — conf
Improved estimation of the logarithm of the covariance matrix.
SAM
Xavier Mestre, Francisco Rubio, Pascal Vallet
2012 — conf
On the consistency of likelihood penalization methods in large sensor networks.
SAM
Pascal Vallet, Philippe Loubaton, Xavier Mestre
2011 — —
Random matrices and applications to statistical signal processing. (Matrices aléatoires et applications au traitement statistique du signal).
Pascal Vallet
2010 J jnl
Improved subspace estimation for multivariate observations of high dimension: the deterministic signals case
CoRR
Pascal Vallet, Philippe Loubaton, Xavier Mestre
2009 B conf
A G-estimator of the MIMO channel ergodic capacity.
ISIT
Pascal Vallet, Philippe Loubaton
2009 Misc conf
Improved subspace DoA estimation methods with large arrays: The deterministic signals case.
ICASSP
Pascal Vallet, Philippe Loubaton, Xavier Mestre