17 citations · 72 across the 17 of their papers we have counts for
4 papers · 2 filters
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional () Off-the-Grid Frequencies
Weiyu Xu, Jian-Feng Cai, Kumar Vijay Mishra +2
Recent research in off-the-grid compressed sensing (CS) has demonstrated that, under certain conditions, one can successfully recover a spectrally sparse signal from a few time-dom…
Off-The-Grid Spectral Compressed Sensing With Prior Information
Kumar Vijay Mishra, Myung Cho, Anton Kruger +1
Recent research in off-the-grid compressed sensing (CS) has demonstrated that, under certain conditions, one can successfully recover a spectrally sparse signal from a few time-dom…
Universally Elevating the Phase Transition Performance of Compressed Sensing: Non-Isometric Matrices are Not Necessarily Bad Matrices
Weiyu Xu, Myung Cho
In compressed sensing problems, minimization or Basis Pursuit was known to have the best provable phase transition performance of recoverable sparsity among polynomial-tim…
Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm
Myung Cho, Weiyu Xu
In this paper, we propose new efficient algorithms to verify the null space condition in compressed sensing (CS). Given an () CS matrix and a positive …