29 citations · 72 across the 6 of their papers we have counts for
6 papers
A non-iterative method for the electrical impedance tomography based on joint sparse recovery
Ok Kyun Lee, Hyeonbae Kang, Jong Chul Ye +1
The purpose of this paper is to propose a non-iterative method for the inverse conductivity problem of recovering multiple small anomalies from the boundary measurements. When smal…
Improving Noise Robustness in Subspace-based Joint Sparse Recovery
Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
In a multiple measurement vector problem (MMV), where multiple signals share a common sparse support and are sampled by a common sensing matrix, we can expect joint sparsity to ena…
Exact Dynamic Support Tracking with Multiple Measurement Vectors using Compressive MUSIC
Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
Dynamic tracking of sparse targets has been one of the important topics in array signal processing. Recently, compressed sensing (CS) approaches have been extensively investigated…
Compressive MUSIC with optimized partial support for joint sparse recovery
Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
Multiple measurement vector (MMV) problem addresses the identification of unknown input vectors that share common sparse support. The MMV problems had been traditionally addressed…
Compressive MUSIC: A Missing Link Between Compressive Sensing and Array Signal Processing
Jong Min Kim, Ok Kyun Lee, Jong Chul Ye
The multiple measurement vector (MMV) problem addresses the identification of unknown input vectors that share common sparse support. Even though MMV problems had been traditionall…
Concatenate and Boost for Multiple Measurement Vector Problems
O. K. Lee, J. C. Ye
Multiple measurement vector (MMV) problem addresses the recovery of a set of sparse signal vectors that share common non-zero support, and has emerged an important topics in compre…