Multidimensional complex stationary centered Gaussian autoregressive time series machine learning in Poincaré and Siegel disks: application for audio and radar …
Y Cabanes - 2022 - theses.hal.science
The objective of this thesis is the classification of complex valued stationary centered
Gaussian autoregressive time series. We study the case of one-dimensional time series as …
Gaussian autoregressive time series. We study the case of one-dimensional time series as …
An equivariant neural network with hyperbolic embedding for robust doppler signal classification
PY Lagrave, Y Cabanes… - 2021 21st International …, 2021 - ieeexplore.ieee.org
This paper focuses on the robustness aspects of Doppler signal processing tasks with
Machine Learning algorithms within the context of pathological radar clutter classification …
Machine Learning algorithms within the context of pathological radar clutter classification …
Classification method of uniform circular array radar ground clutter data based on chaotic genetic algorithm
B Yang, M Huang, Y Xie, C Wang, Y Rong, H Huang… - Sensors, 2021 - mdpi.com
The classification and recognition of radar clutter is helpful to improve the efficiency of radar
signal processing and target detection. In order to realize the effective classification of …
signal processing and target detection. In order to realize the effective classification of …
-Equivariant Machine Learning with Modular Forms Theory and Applications
PY Lagrave - International Conference on Geometric Science of …, 2023 - Springer
This paper introduces an approach for building Machine Learning (ML) algorithms
embedding equivariance mechanisms to the Lie group SL (2, Z) by leveraging on modular …
embedding equivariance mechanisms to the Lie group SL (2, Z) by leveraging on modular …
Clutter-masked waveform design for LPI/LPD radarcom signal encoding
R Washington, B Bischof, D Garmatyuk, S Mudaliar - Sensors, 2021 - mdpi.com
In this work we propose a method of in situ clutter deconvolution and modeling using
experimentally obtained UWB radar data. The obtained clutter models are then used for …
experimentally obtained UWB radar data. The obtained clutter models are then used for …
Matrix extension for pathological radar clutter machine learning
This paper deals with radar clutter statistical learning based on spatial Doppler fluctuation. In
articles [1]-[4], data is clustered cell by cell. In this article, we generalize the previous model …
articles [1]-[4], data is clustered cell by cell. In this article, we generalize the previous model …
The Basic Geometric Structures of Electromagnetic Digital Information: Statistical characterization of the digital measurement of spatio-Doppler and polarimetric …
F Barbaresco, Y Cabanes - arXiv preprint arXiv:2007.00428, 2020 - arxiv.org
The aim is to describe new geometric approaches to define the statistics of spatio-temporal
and polarimetric measurements of the states of an electromagnetic wave, using the works of …
and polarimetric measurements of the states of an electromagnetic wave, using the works of …
[PDF][PDF] APPROCHER LES DEUX INFINIS PAR LES ONDES ELECTROMAGNETIQUES
DE LES STRUCTURES GÉOMÉTRIQUES … - academia.edu
Résumé/Abstract Il s' agit de décrire de nouvelles approches géométriques pour définir les
statistiques de mesures spatio-temporelles et polarimétrique des états d'une onde …
statistiques de mesures spatio-temporelles et polarimétrique des états d'une onde …
APPROCHER LES DEUX INFINIS PAR LES ONDES ELECTROMAGNETIQUES LES STRUCTURES GÉOMÉTRIQUES ÉLÉMENTAIRES DE L'INFORMATION …
F Barbaresco, Y Cabanes - JS19, 2019 - hal.science
Il s' agit de décrire de nouvelles approches géométriques pour définir les statistiques de
mesures spatio-temporelles et polarimétrique des états d'une onde électromagnétique, en …
mesures spatio-temporelles et polarimétrique des états d'une onde électromagnétique, en …