26 citations · 115 across the 68 of their papers we have counts for
4 papers · 1 filter
Sparse Recovery over Graph Incidence Matrices
Mengnan Zhao, M. Devrim Kaba, René Vidal +2
Classical results in sparse recovery guarantee the exact reconstruction of -sparse signals under assumptions on the dictionary that are either too strong or NP-hard to check. Mo…
Sparse Recovery with Graph Constraints
Meng Wang, Weiyu Xu, Enrique Mallada +1
Sparse recovery can recover sparse signals from a set of underdetermined linear measurements. Motivated by the need to monitor large-scale networks from a limited number of measure…
Sparse Recovery with Graph Constraints: Fundamental Limits and Measurement Construction
Meng Wang, Weiyu Xu, Enrique Mallada +1
This paper addresses the problem of sparse recovery with graph constraints in the sense that we can take additive measurements over nodes only if they induce a connected subgraph.…
Compressive Sensing over Graphs
Weiyu Xu, Enrique Mallada, Ao Tang
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are…