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math.OC2018
Sensing Matrix Design via Capacity Maximization for Block Compressive Sensing Applications
Richard Obermeier, Jose Angel Martinez-Lorenzo
It is well established in the compressive sensing (CS) literature that sensing matrices whose elements are drawn from independent random distributions exhibit enhanced reconstructi…
math.OC2016
A compressive sensing approach for enhancing breast cancer detection using a hybrid DBT / NRI configuration
Richard Obermeier, Jose Angel Martinez Lorenzo
This work presents a novel breast cancer imaging approach that uses compressive sensing in a hybrid Digital Breast Tomosynthesis (DBT) / Nearfield Radar Imaging (NRI) system config…
math.OC2015
Model-based Optimization of Compressive Antennas for High-Sensing-Capacity Applications
Richard Obermeier, Jose Angel Martinez-Lorenzo
This paper presents a novel, model-based compressive antenna design method for high sensing capacity imaging applications. Given a set of design constraints, the method maximizes t…