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eess.SP2022★ 8 cited
Learning-Based Reconstruction of FRI Signals
Vincent C. H. Leung, Jun-Jie Huang, Yonina C. Eldar +1
Finite Rate of Innovation (FRI) sampling theory enables reconstruction of classes of continuous non-bandlimited signals that have a small number of free parameters from their low-r…
eess.SP2019★ 14 cited
Reconstruction of FRI Signals using Deep Neural Network Approaches
Vincent C. H. Leung, Jun-Jie Huang, Pier Luigi Dragotti
Finite Rate of Innovation (FRI) theory considers sampling and reconstruction of classes of non-bandlimited continuous signals that have a small number of free parameters, such as a…