Sequential detection of a temporary change in multivariate time series
International audience
Preserving the Minimum Distance of Polar-Like Codes while Increasing the Information Length
Reed Muller (RM) codes are known for their good minimum distance. One can use their structure to construct polar-like codes with good distance properties by choosing the information set as the rows of the polarization matrix with the highest Hamming weight, instead of the most reliable synthetic channels. However, the information length options of ...
Some contributions to cardiac and pulmonary biomechanical modeling, simulation & estimation
Experimental Validation of Time Reversal Multiple Access for UWB Wireless Communications at the SubTHz Frequency Band
Increase data rate while having low power consumption and low computational complexity at the receiver are the key elements for the research in wireless communication for low complexity devices. Sub Terahertz (SubTHz) radio-frequency domain can support ultra-wideband (UWB) communications, and thus the unprecedented increase in the wireless network ...
Cross-dataset Learning for Generalizable Land Use Scene Classification
International audience
Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite a...
To better forecast solar variability, spatio-temporal methods exploit spatially distributed solar time series, seeking to improve forecasting accuracy by including neighboring solar information. This review work is, to the authors’ understanding, the first to offer a compendium of references published since 2011 on such approaches for global horizo...
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators
Memristors enable the computation of matrix-vector multiplications (MVM) in memory and, therefore, show great potential in highly increasing the energy efficiency of deep neural network (DNN) inference accelerators. However, computations in memristors suffer from hardware non-idealities and are subject to different sources of noise that may negativ...
Data fusion and non-destructive testing of damaged fiber-reinforced laminates
Efficient strategies for non-destructive testing of damaged composite laminates modeled from homogenization of fiber-reinforced polymers could in- volve fused data. Here, those are from electromagnetic and infrared thermographic modalities, for which semi-analytical models of the interaction are available. Focus is on inter-layer delaminations. Pat...
Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation
Convolutional Neural Network (CNN) have been widely used in image classification. Over the years, they have also benefited from various enhancements and they are now considered as state of the art techniques for image like data. However, when they are used for regression to estimate some function value from images, fewer recommendations are availab...
Placement des récepteurs pour la localisation de drones dans une zone de surveillance
La sécurité des zones sensibles contre les menaces de drones est devenue un enjeu majeur. Dans ce contexte, les radars multistatiques présentent des avantages significatifs par rapport aux radars monostatiques en raison de l'exploitation de la diversité spatiale et d'une meilleure détectabilité des cibles. Ainsi, le placement des capteurs a un impa...
