1 citations · 2 across the 3 of their papers we have counts for
3 papers
Weakly-Convex Regularization for Magnetic Resonance Image Denoising
Akash Prabakar, Abhishek Shreekant Bhandiwad, Abijith Jagannath Kamath +1
Regularization for denoising in magnetic resonance imaging (MRI) is typically achieved using convex regularization functions. Recently, deep learning techniques have been shown to…
Neuromorphic Sampling of Sparse Signals
Abijith Jagannath Kamath, Chandra Sekhar Seelamantula
Neuromorphic sampling is a bioinspired and opportunistic analog-to-digital conversion technique, where the measurements are recorded only when there is a significant change in the…
Neuromorphic Sampling of Signals in Shift-Invariant Spaces
Abijith Jagannath Kamath, Chandra Sekhar Seelamantula
Neuromorphic sampling is a paradigm shift in analog-to-digital conversion where the acquisition strategy is opportunistic and measurements are recorded only when there is a signifi…