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José Miguel Mateos Ramos

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Machine Learning for Integrated Sensing and Communications under Modeling Mismatch

This thesis investigates machine learning as a data-driven complement to model-based signal processing in ISAC, with contributions spanning supervised, semi-supervised, unsupervised, and self-supervised learning regimes across four appended papers.

José Miguel Mateos Ramos · 0 citations