ChDMA technique based MB-UWB system over the IEEE 802.15.3a proposal

Bayesian sparse regularization in near-field wideband aeroacoustic imaging for wind tunnel test

Second-order near field localization with automatic paring operation

Two robust super resolution approaches in aeroacoustic imaging for near-field wideband extended sources

EM-ESPRIT ALGORITHM FOR DIRECTION FINDING WITH NONUNIFORM ARRAYS

Wideband Zero-Forcing MUSIC for Aeroacoustic Sources Localization

BER Performance Improvement with Joint Angle-Delay-Polarization Estimation of Multipath Channel Parameters

Direction of Arrival Estimation using EM-ESPRIT with nonuniform arrays

Advantages of nonuniform arrays using Root-MUSIC

2D convolution model using (in)variant kernels for fast acoustic imaging

Interpolation et méthodes à haute résolution pour antennes non uniformes

Joint DOA Estimation and Dereverberation Based on Multi-channel Linear Prediction Filtering and Azimuth Sparsity

A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging

Localisation des sources distribuées en champ proche

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

A Bayesian sparse inference approach in near-field wideband aeroacoustic imaging

A numerical comparison of kriging-based sequential strategies for estimating a probability of failure

Modèles numériques coûteux : de la quantification des incertitudes la planification séquentielle d'expériences

Quantifying and reducing uncertainties on excursion sets under a gaussian random field prior

Fully Bayesian approach for the estimation of (first-order) Sobol indices

An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC

Quantifying and reducing uncertainties on a set of failure using random set theory and Kriging

Comparison of Fully Bayesian and Empirical Bayes approaches for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC

A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems (extended version)

A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems

Optimisation bayésienne par méthodes SMC

Probabilistic computation of wind farm power generation based on wind turbine dynamic modeling

On the joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC in low SNR situations

Bayes-optimal importance sampling for computer experiments

Évaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences

Generalized Fokker-Planck equation for piecewise-diffusion processes with boundary hitting resets

Comments on "Joint Bayesian Model Selection and Estimation of Noisy Sinusoids via Reversible Jump MCMC

User preferences in Bayesian multi-objective optimization

Method and system for predicting the impact between a vehicle and a pedestrian

A numerical comparison of two sequential kriging-based algorithms to estimate a probability of failure

Sequential search based on Kriging: convergence analysis of some algorithms

Étude d'un nouveau critère d'optimisation bayésienne

Summarizing Posterior Distributions in Signal Decomposition Problems when the Number of Components is Unknown

Optimisation bayésienne par méthodes SMC

Bayesian optimization using sequential Monte Carlo

Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failure

Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure

Sequential design of experiment on a stochastic multi-fidelity simulator to estimate a probability of exceeding a threshold

A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functions

Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization

PEOD: Pade estimated optimum (radar) detector

Dimensionalized wavelet transform with application to radar imaging

Computation of affine time-frequency distributions using the fast Mellin transform

Saddlepoint approximation applied to fusion in multiple sensor and to detection in clutter