Novelty Detection Framework for Radio Astronomy Data Using Signatures

SigNova introduces a novel semi-supervised framework for detecting anomalies in streamed data, with a focus on radio-frequency interference (RFI) in radio astronomy. The approach leverages signature transforms and Mahalanobis distances to improve RFI detection.