12 citations · 16 across the 6 of their papers we have counts for
Showing cs.ITShow all
2 papers · 1 filter
cs.IT2022
Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing
Hui Zhang, Xin Liu, Naihua Xiu
Recently, many new challenges in Compressed Sensing (CS), such as block sparsity, arose. In this paper, we present a new algorithm for solving CS with block sparse constraints (BSC…
cs.IT2011★ 3 cited
Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery
Lingchen Kong, Levent Tunçel, Naihua Xiu
The low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statisti…