716 citations · 2.8k across the 74 of their papers we have counts for
3 papers · 2 filters
Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation
Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin +1
While the recent theory of compressed sensing provides an opportunity to overcome the Nyquist limit in recovering sparse signals, a solution approach usually takes a form of invers…
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix
Kyong Hwan Jin, Dongwook Lee, Jong Chul Ye
Parallel MRI (pMRI) and compressed sensing MRI (CS-MRI) have been considered as two distinct reconstruction problems. Inspired by recent k-space interpolation methods, an annihilat…
Improving M-SBL for Joint Sparse Recovery using a Subspace Penalty
Jong Chul Ye, Jong Min Kim, Yoram Bresler
The multiple measurement vector problem (MMV) is a generalization of the compressed sensing problem that addresses the recovery of a set of jointly sparse signal vectors. One of th…