22 citations · 22 across the 1 of their papers we have counts for
4 papers
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…
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: 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…