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Frédéric Barbaresco

1 accepted papers

2019

Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data

ICASSP 2019accepted

Classification of radar observations with machine learning tools is of primary importance for the identification of non-cooperative radar targets such as drones. These observations are made of complex-valued time series which possess a strong underlying structure. These signals can be processed thro…

Cited by 0SourceScholar