A. Ferrari

Latest

• Online change-point detection with kernels
• Deep Deconvolution for Traffic Analysis with Distributed Acoustic Sensing Data
• A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing data
• Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing
• Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis
• Variance Stabilizing Transformations for Intensity Estimators of Shot Noise
• Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing
• Dataflow Algorithm architecture co-design of SKA pipeline for Exascale Radio Astronomy
• Online Graph-Based Change Point Detection in Multiband Image Sequences
• Non-parametric community change-points detection in streaming graph signals
• Distributed change detection in streaming graph signals
• Kernel based online change point detection
• Performance Bound for Robust Array Calibration in Radio Interferometry
• A parallel and automatically tuned algorithm for multispectral image deconvolution
• Non-parametric community change-points detection in streaming graph signals
• Robust distributed calibration of radio interferometers with direction dependent distortions
• A Study on Convolution Using Half--Precision Floating--Point Numbers on GPU for Radioastronomy Deconvolution
• Bayesian calibration using different prior distributions: an iterative maximum a posteriori approach for radio interferometers
• Distribution strategies for very large 3D image deconvolution algorithms
• Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation
• ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator
• Robust Calibration of Radio Interferometers in Multi-Frequency Scenario
• Diffusion LMS for Multitask Problems With Local Linear Equality Constraints
• Unmixing of multispectral photoacoustic images
• Distributed approach for deblurring large images with shift-variant blur
• Parallel image reconstruction for multi-frequency radio-interferometry
• A Telemetry Monitoring System Using the One-Class SVM Method
• Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters
• Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions
• Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization
• Diffusion LMS over multitask networks with noisy links
• Distributed Multi-Frequency Image Reconstruction For Radio-Interferometry
• Fast and robust detection of a known pattern in an image
• Proximity operators for phase retrieval
• Fast and robust exo-planet detection in multi-spectral, multi-temporal data
• Fast and robust exo-planet detection in multi-spectral, multi-temporal data
• Interbands phase models for polychromatic image reconstruction in optical interferometry
• The 2016 Interferometric Imaging Beauty Contest
• Multitask Diffusion Adaptation Over Asynchronous Networks
• Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions
• Improving Spacecraft Health Monitoring with Automatic Anomaly Detection Techniques
• Diffusion LMS over multitask networks with noisy links
• Unsupervised neighbor dependent nonlinear unmixing
• Algorithmic aspects for the reconstruction of spatio-spectral data cubes in the perspective of the SKA
• Estimation distribuée sur les réseaux multitâches en présence d'échanges d'informations bruitées
• Large scale 3D image reconstruction in optical interferometry
• Modèle non-linéaire et semi-paramétrique pour le démélange non-supervisé d'images hyperspectrales
• Multi-frequency image reconstruction for radio interferometry. A regularized inverse problem approach
• Hyperspectral data unmixing with graph-based regularization
• A graph Laplacian regularization for hyperspectral data unmixing
• Multitask diffusion LMS with sparsity-based regularization
• Blind and Fully Constrained Unmixing of Hyperspectral Images
• PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry
• Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios
• Performance analysis of multitask diffusion adaptation over asynchronous networks
• Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument
• Equivalence between the Posterior Distribution of the Likelihood Ratio and a p-value in an Invariant Frame
• A Non-Asymptotic Standardization of Binomial Counts in Higher Criticism
• Distributed image reconstruction for very large arrays in radio astronomy
• GLUP: yet another algorithm for blind unmixing of hyperspectral data
• Détection de sources astrophysiques dans les données du spectrographe integral de champ MUSE
• Statistical characterisation of polychromatic absolute and differential squared visibilities obtained from AMBER/VLTI instrument
• Subspace learning in minimax detection
• Distribution des observables en interférométrie optique polychromatique et impact sur la reconstruction d'images
• Group Lasso avec contraintes de positivité et de somme unité pour le dé mé lange non-supervisé des images hyperspectrales
• Parcimonie, apprentissage et classification pour une approche minimax en détection
• Back to Results Minimax sparse detection based on one-class classifiers
• Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data
• Models with products of Dirichlet processes
• Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression
• Detection Tests Using Sparse Models, With Application to Hyperspectral Data
• New Concepts in Imaging: Optical and Statistical Models
• Classification of multivariate data using Dirichlet process mixture models
• Stationnarité Relative et Approches Connexes
• Adaptive inverse control using kernel identification
• Generalization of the posterior distribution of the likelihood ratio to composite vs composite hypotheses testing
• MAP-based sparse detection strategies. Application to the hyperspectral data of the MUSE instrument.
• Advances in Machine Learning and Data Mining for Astronomy
• PDR and LRMAP detection tests applied to massive hyperspectral data
• Restauration des cubes hyperspectraux du spectro-imageur MUSE
• Sparsity-based composite detection tests. Application to astrophysical hyperspectral data
• Sur des tests d'hypothèses composites pour des paramètres parcimonieux
• Composite hypothesis tests for sparse parameters
• Transitional surrogates
• Apodized Lyot coronagraph for SPHERE/VLT
• Digital Spectral Analysis: Parametric, Non-Parametric and Advanced Methods
• Bayesian detection with the posterior distribution of the likelihood ratio
• Classic adaptive optics: disturbance rejection control
• Comparison of methods for detection and characterization of exoplanets with SPHERE/IRDIS
• Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking
• Joint myopic deconvolution
• Some results on disturbance rejection control for an adaptive optics system
• The Posterior distribution of the Likelihood Ratio as a measure of evidence
• Transductive kernel matrix learning with hierarchic Bayesian model, application to hyperspectral images
• Detection of a moving source in speckle noise. Application to exoplanet detection
• Analytical computation of the Lyot coronagraph response to an extended source
• Apodized pupil Lyot coronagraphs for arbitrary apertures. II. theoretical properties and application to extremely large telescopes.
• Détection d'exoplanètes par imagerie directe, une approche Bayesienne
• Detection from a multi-channel sensor using a hierarchical Bayesian model
• Lois de Poisson mélangées multivariées : application à la détection en présence de speckles
• Apodized apertures for solar coronagraphy
• Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging.
• Simulation of moving exoplanets detection using the VLT instrument SPHERE/IRDIS
• The Software Package SPHERE: a CAOS-based numerical tool for end-to-end simulations of SPHERE/VLT
• The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise
• An exoplanet detection algorithm for field-rotated coronagraphic images, and preliminary results for SPHERE
• An introduction to stellar coronagraphy
• Analytical Analysis of Lyot Coronographs Response
• Bivariate Gamma Distributions for Image Registration and Change Detection
• Détection d'exoplanètes à l'aide de méthodes des moments
• Exponential families of mixed Poisson distributions
• Speckle noise and dynamic range in coronagraphic images
• Strehl ratio estimation and statistics in adaptive optics images
• Apodized Pupil Lyot Coronagraphs: Concepts and application to the Gemini Planet Imager
• Astronomy with High Contrast Imaging III
• Astronomy with High Contrast Imaging III
• Data Processing for Exoplanet Detection Using Direct Imaging
• Parameter estimation for multivariate Gamma distributions, application to image registration
• Parameter Estimation for Multivariate Mixed Poisson Distributions
• Speckle statistics in direct and coronagraphic imaging
• A UMP Unbiaised test for target Detection in Active Coherent Images
• Analyse Statistique de la Détection de Planète par Imagerie Directe
• Spectral Analysis: Parametric And Non-parametric Digital Methods
• The Noncentral Wishart Distribution: Properties and Application to Speckle Imaging
• Cramer-Rao Lower Bounds in Additive and Multiplicative Noise
• Detection Performance for Discrete Test Statistics. Application to Low-Flux Imagery
• Fringe visibility estimation in Michelson stellar interferometry: asymptotic performances
• Multivariate Mixed Poisson distributions
• Signaux Aléatoires, Modélisation Estimation Détection
• Signaux Aléatoires, Modélisation Estimation Détection
• Traitement statistique du signal et applications à quelques problèmes d'Astrophysique
• Analysis of Flux Variation Detection in Poisson Processes, Application to Direct Detection of Extra-solar Planets
• Barankin Lower bound for change-points in independent sequences
• Etude des performances asymptotiques en interféromt́rie des tavelures
• Analyse Spectrale
• Astronomy with High Contrast Imaging
• Changepoint detection in multivariate Poisson distributions
• Extension of Whittle likelihood to transient signal parameters estimation, application to stellar speckle interferometry
• Improvement of coronography using optimal apodizations
• Parametric modeling of photometric signals
• Spectral Modes Estimation using Whittle-type Criterion, Applications to stellar speckle interferometry
• Total coronographic extinction of rectangular apertures using linear prolate apodizations
• Étude Statistique de la Détection d'Exo-Planètes en Imagerie Courte Pose
• Interferometric apodization of rectangular apertures. Application to stellar coronography
• Le modèle harmonique stochastique et son application au rehaussement de signal de parole
• Marginal Bayesian analysis of Polynomial-Phase Signals
• Cramer-Rao Lower Bound on Parameters of Abrupt Changes Corrupted by Additive and Multiplicative Noise
• Statistical Analysis of a Parametric Model for Photometric Signals
• Statistical Analysis of SMF Algorithm for Polynomial Phase Signal Analysis
• Analyse Statistique de SMF pour l'étude des signaux à phase polynômiale
• Detection of extra solar planets using parametric modeling
• Estimation Spectrale Paramétrique de Modes Corréllés, Application à l'Héliosismologie
• Parametric representation of helioseismic data. Part 1: a method for estimation of mode correlation
• A Parametric Model of the Solar Full-disk Seismological Signal
• AR Spectral Analysis with Random Missing Observations
• Parametric Estimation of Correlation in Solar Oscillations
• Bayesian Estimation of the Parameters of a Polynomial Phase Signal using MCMC methods
• Détection bayésienne de saut de fréquence par des méthodes MCMC
• Doppler Ambiguity Resolution Using Multiple PRF
• Sampling Jitter Detection using Higher-Order Statistics
• Spectral Estimation of a Gaussian Signal Sampled with Jitter
• Detection and Estimation of Changes in a Polynomial-Phase Signal using the DPPT
• Polynomial phase signal analysis using stationary moments
• Stationary moments of a polynomial phase signal, application to parameter estimation
• A parametric model for the quadratic sampling of a bandlimited signal
• Détection Séquentielle de Sauts dans les Paramètres d'un Signal à Fréquence Polynomiale
• Doppler Ambiguity Resolution Using Staggered PRF with a New Chirp Sweep Rate Estimation Algorithm
• Optimization of Sampling Instants for Non Ambiguous Radar Doppler Frequency Estimation
• Blind Bursts Handling in Doppler Ambiguity Resolution for Multiple PRF Radar
• Detection and Estimation of Simultaneous Multiple Phase or Amplitude Jumps in Noisy Sinusoidal Processes
• High Order Ergodicity of a Complex Sinusoidal Process
• Cartographie Doppler et Détection de Cibles Radar
• Estimation Doppler Radar Non Ambigüe
• Numerical Experiments with One Dimensional Adaptive Cubic Algorithm
• Overdetermined Noise Compensation Without Eigendecomposition for Frequency Estimation
• Contribution à l'Etude et au Développement de Méthodes ``Haute Résolution'' en Analyse Spectrale
• Detection of changes in a nonstationary signal using a time varying AR modelling
• Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies
• Estimation of the Fundamental Frequency of a Noisy Sum of Cisoids with Harmonic Related Frequencies - Application to SONAR Multipath Delay Estimation
• Improvements of a State-Space Iterative Noise Reduction Algorithm for Harmonic Retrieval
• New Approach to Estimation of the Frequency of a Noisy Cisoid
• Numerical Experiments with One Dimensional Adaptive Cubic Algorithm
• A single frequency efficient estimator
• Détection de trajets multiples se signaux sonar par modélisation évolutive
• Estimation de la fréquence fondamentale d'une somme bruitée de cisoides de fréquence harmonique
• Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics
• A state space approach for computing Pisarenko's frequencies
• Spectral estimation methods avoiding eigenvector decomposition