
José PICHERAL
Professor
jose.picheral@l2s.centralesupelec.fr
L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Détection de signaux radar LPI par YOLO en présence d’interférences et de signaux inconnus
Fusion Acoustique-Visuelle par Transport Optimal pour la Localisation de Sources
Un enseignement expérimental de traitement de signal audio dans un cursus ingénieur généraliste
Strong Basin of Attraction for Unmixing Kernels with the Variable Projection Method
Reconstruction de Réponses Impulsionnelles sur une Variété pour la Spectroscopie de Plasma Induit par Laser
Convergence Guarantees for Unmixing PSFs over a Manifold with Non-Convex Optimization
Joint DOA Estimation and Dereverberation Based on Multi-channel Linear Prediction Filtering and Azimuth Sparsity
Low Probability of Interception Radar Signals Detection, Comparison of a YOLOv8 Model and a Conventional Signal Processing Method
An investigation of the performances of asynchronous measurements methods
Study of MVDR Beamforming with Spatially Distributed Source: Theoretical Analysis and Efficient Microphone Array Geometry Optimization Method
Méthode sans grille pour la localisation de sources à partir de mesures asynchrones
Speech Enhancement With Robust Beamforming for Spatially Overlapped and Distributed Sources
Design of switching sequences for sine parameters estimation on switched antenna arrays
Theoretical analysis of the DAMAS algorithm and efficient implementation of the Covariance Matrix Fitting method for large-scale problems
Some results on the convergence of the damas algorithm and application to large scale problems
Correlated source localization with orthogonal least squares
Localization of sparse and coherent sources by orthogonal least squares
Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm
Approches parcimonieuses pour l’estimation de la matrice de covariance spatiale et la localisation de sources acoustiques
Spatial matrix covariance estimation and acoustic source localization by sparse approaches
New Possibilities for Analyzing Complex Asynchronous Blade Vibrations From Tip-Timing Data Using a Sparse Spectral Analysis Method
Performance analysis of distributed source parameter estimator (DSPE) in the presence of modeling errors due to the spatial distributions of sources
Sparse Method for Tip-Timing Signals Analysis with Non Stationary Engine Rotation Frequency
Robustness of the coherently distributed MUSIC algorithm to the imperfect knowledge of the spatial distribution of the sources
Array Geometry Impact on Music in the Presence of Spatially Distributed Sources
Méthode parcimonieuse pour l’analyse spectrale de signaux tip-timing
Sparsity-based localization of spatially coherent distributed sources
Localization of Spatially Distributed Near-Field Sources with Unknown Angular Spread Shape
Borne de Cramér-Rao pour la conception de réseaux de capteurs en présence des sources dispersées
Antenna Array Design for Music in The Presence of Spatially Distributed Sources
Performance Analysis of Music in the Presence of Modeling Errors Dueto the Spatial Distribution of Sources
A hierarchical variational Bayesian approximation approach in acoustic imaging
A robust super-resolution approach with sparsity constraint in acoustic imaging
Convolution Models with Shift-invariant kernel based on Matlab-GPU platform for Fast Acoustic Imaging
Aero-acoustics source separation with sparsity inducing priors in the frequency domain
Enhanced visual analysis of aircraft engines based on spectrograms
A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging
2D convolution model using (in)variant kernels for fast acoustic imaging
Performance analysis of MUSIC for spatially distributed sources
Compression methods for mechanical vibration signals: Application to the plane engines
Robust Bayesian super-resolution approach via sparsity enforcing a priori for near-field aeroacoustic source imaging
Localisation des sources distribuées en champ proche
An efficient variational Bayesian inference approach via Studient’s-t priors for acoustic imaging in colored noises
Direction of Arrival Estimation using EM-ESPRIT with nonuniform arrays
A Bayesian sparse inference approach in near-field wideband aeroacoustic imaging
Wideband Zero-Forcing MUSIC for Aeroacoustic Sources Localization
Bayesian sparse regularization in near-field wideband aeroacoustic imaging for wind tunnel test
Two robust super resolution approaches in aeroacoustic imaging for near-field wideband extended sources
Mechanical Vibration Signal Compression by LOT-based Subband Coding
A robust super-resolution approach for near-field wideband acoustic imaging with sparsity constraint
CentraleSupélec,
3, rue Joliot Curie,
91190 Gif-sur-Yvette
Supporting institutes
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