716 citations · 2.8k across the 74 of their papers we have counts for
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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…
Belief propagation for joint sparse recovery
Jongmin Kim, Woohyuk Chang, Bangchul Jung +2
Compressed sensing (CS) demonstrates that sparse signals can be recovered from underdetermined linear measurements. We focus on the joint sparse recovery problem where multiple sig…
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…