Pascal Vallet

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 15

Top Venues

ICASSP

IEEE Trans. Signal Process.

CoRR

SSP

University of Paris-Est, France (PHD)

Education History

University of Paris-Est, France

PHD

Publications

Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models. IEEE Trans. Signal Process. 72 (2024)
Philippe Loubaton, Alexis Rosuel, Pascal Vallet
On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime. J. Multivar. Anal. 194 (2023)
Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac
Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models. SSP (2021)
Alexis Rosuel, Philippe Loubaton, Pascal Vallet, Xavier Mestre
On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach. CoRR (2021)
Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre
On the Detection of Low-Rank Signal in the Presence of Spatially Uncorrelated Noise: A Frequency Domain Approach. IEEE Trans. Signal Process. 69 (2021)
Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre
On the frequency domain detection of high dimensional time series. CoRR (2020)
Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre
On The Frequency Domain Detection of High Dimensional Time Series. ICASSP (2020)
Xavier Mestre, Pascal Vallet
On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation. IEEE Trans. Signal Process. 68 (2020)
Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
An Improved Low Rank Detector in the High Dimensional Regime. ICASSP (2019)
Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Performance Analysis of a Low-Rank Detector Under Training Data Contamination. CAMSAP (2019)
Xavier Mestre, Pascal Vallet
Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix. IEEE Trans. Inf. Theory 63 (7) (2017)
Pascal Vallet, Philippe Loubaton
On the Performance of MUSIC With Toeplitz Rectification in the Context of Large Arrays. IEEE Trans. Signal Process. 65 (22) (2017)
O. Najim, Pascal Vallet, Guillaume Ferré, Xavier Mestre
On the statistical performance of music for distributed sources. SSP (2016)
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
Performance Analysis of Spatial Smoothing Schemes in the Context of Large Arrays. IEEE Trans. Signal Process. 64 (1) (2016)
Pascal Vallet, Philippe Loubaton, Xavier Mestre
Une méthode MUSIC adaptée aux grands réseaux de capteurs. Traitement du Signal 33 (2-3) (2016)
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
Performance analysis of spatial smoothing schemes in the context of large arrays. CoRR (2015)
Timothee Rouffet, Éric Grivel, Pascal Vallet, Cyrille Enderli, Stéphane Kemkemian
Combining two phase codes to extend the radar unambiguous range and get a trade-off in terms of performance for any clutter. ICASSP (2015)
Xavier Mestre, Pascal Vallet, Walid Hachem
Asymptotic analysis of linear spectral statistics of the sample coherence matrix. ICASSP (2015)
Xavier Mestre, Pascal Vallet
Extended GLRT detectors of correlation and sphericity: The undersampled regime. EUSIPCO (2015)
Gia-Thuy Pham, Philippe Loubaton, Pascal Vallet
Performance analysis of spatial smoothing schemes in the context of large arrays. ICASSP (2015)
Pascal Vallet, Philippe Loubaton, Xavier Mestre
A statistical comparison between music and G-music. ICASSP (2015)
Pascal Vallet, Xavier Mestre, Philippe Loubaton
Performance Analysis of an Improved MUSIC DoA Estimator. IEEE Trans. Signal Process. 63 (23) (2015)
Xavier Mestre, Pascal Vallet, Walid Hachem
Correlation test for high dimensional data with application to signal detection in sensor networks. EUSIPCO (2014)
Pascal Vallet, Philippe Loubaton
Toeplitz rectification and DOA estimation with music. ICASSP (2014)
Pascal Vallet, Xavier Mestre, Philippe Loubaton, Romain Couillet
Asymptotic analysis of beamspace-MUSIC in the context of large arrays. SAM (2014)
Walid Hachem, Philippe Loubaton, Xavier Mestre, Jamal Najim, Pascal Vallet
A subspace estimator for fixed rank perturbations of large random matrices. J. Multivar. Anal. 114 (2013)
Xavier Mestre, Pascal Vallet, Philippe Loubaton
On the resolution probability of conditional and unconditional maximum likelihood DOA estimation. EUSIPCO (2013)
Pascal Vallet, Philippe Loubaton, Xavier Mestre
Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case. IEEE Trans. Inf. Theory 58 (2) (2012)
Xavier Mestre, Francisco Rubio, Pascal Vallet
Improved estimation of the logarithm of the covariance matrix. SAM (2012)
Pascal Vallet, Xavier Mestre, Philippe Loubaton
A CLT for the G-MUSIC DoA estimator. EUSIPCO (2012)
Pascal Vallet, Philippe Loubaton, Xavier Mestre
On the consistency of likelihood penalization methods in large sensor networks. SAM (2012)
Pascal Vallet, Philippe Loubaton, Xavier Mestre
Improved subspace estimation for multivariate observations of high dimension: the deterministic signals case CoRR (2010)
Pascal Vallet, Philippe Loubaton
A G-estimator of the MIMO channel ergodic capacity. ISIT (2009)
Pascal Vallet, Philippe Loubaton, Xavier Mestre
Improved subspace DoA estimation methods with large arrays: The deterministic signals case. ICASSP (2009)

Pascal Vallet.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pascal Vallet