Radar emitters classification and clustering with a scale mixture of normal distributions
G Revillon, A Mohammad‐Djafari… - IET Radar, Sonar & …, 2019 - Wiley Online Library
In this study, a scale mixture of normal distributions model is developed for classification and
clustering of radar emitters. A radar signal is characterised by a pulse‐to‐pulse modulation …
clustering of radar emitters. A radar signal is characterised by a pulse‐to‐pulse modulation …
Uncertainty in radar emitter classification and clustering
G Revillon - 2019 - theses.hal.science
In Electronic Warfare, radar signals identification is a supreme asset for decision making in
military tactical situations. By providing information about the presence of threats …
military tactical situations. By providing information about the presence of threats …
Bayesian 3D X-ray computed tomography with a hierarchical prior model for sparsity in Haar transform domain
In this paper, a hierarchical prior model based on the Haar transformation and an
appropriate Bayesian computational method for X-ray CT reconstruction are presented …
appropriate Bayesian computational method for X-ray CT reconstruction are presented …
Variational Bayesian Inference For A Scale Mixture Of Normal Distributions Handling Missing Data
G Revillon, A Djafari, C Enderli - arXiv preprint arXiv:1711.08374, 2017 - arxiv.org
In this paper, a scale mixture of Normal distributions model is developed for classification
and clustering of data having outliers and missing values. The classification method, based …
and clustering of data having outliers and missing values. The classification method, based …