In many applications, d-dimensional observations result from the random presence or
absence of random signals in independent and additive white Gaussian noise. An estimate …

We propose a novel method for noise power spectrum estimation in speech enhancement.
This method called extended-DATE (E-DATE) extends the d-dimensional amplitude trimmed …

With energy scarcity and environmental pollution becoming increasingly serious, the
accurate estimation of fuel consumption of vehicles has been important in vehicle …

Background Dynamic hyperinflation, hereafter called AutoPEEP (auto-positive end
expiratory pressure) with some slight language abuse, is a frequent deleterious …

This PhD thesis presents some contributions to Statistical Signal Processing with
applications in biomedical engineering. The thesis is separated into two parts. In the first …

We propose a novel estimator for estimating the amplitude of speech coefficients in the time-
frequency domain. In order to avoid a phase spectrum estimator of complex coefficients …

In this paper, we evolve from sparsity, a key concept in robust statistics, to concepts and
theoretical results of what we call the mathematics of resilience, at the interface between …

Inmany applications, d-dimensional observations result fromthe randompresence or
absence of randomsignals in independent and additivewhite Gaussian noise. An estimate of …

Quel que soit le domaine d'application, il est nécessaire de tirer profit de toute l'information a
priori dans le but d'optimiser les résultats ou parfois même de manière à rendre un …

En traitement du signal une des tâches les plus importantes et fondamentales est
l'élimination ou la réduction du bruit de fond. Cette thématique est connue sous le nom de …