Roman Alejandro Jacome Carrascal

Roman Alejandro Jacome Carrascal

Ph.D. student in electronics engineering at Universidad Industrial de Santander working with Prof. Henry Arguello on computational imaging, signal processing, imaging inverse problems, and integrated sensing and communications.

Divergence-Based Regularization for End-to-End Sensing Matrix Optimization in Compressive Sampling Systems

Published in SIGNAL 2023, 2023

Introduced divergence-based penalties for differentiable sensing matrix design. More details.

Recommended citation: R Jacome, H Arguello, A Hernandez-Rojas, P Goyes-Penafiel. Divergence-based regularization for end-to-end sensing matrix optimization in compressive sampling systems. SIGNAL 2023 Editors, 79, 2023.
Download Paper