2 citations · 5 across the 4 of their papers we have counts for
4 papers
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.…
On State Estimation with Bad Data Detection
Weiyu Xu, Meng Wang, Ao Tang
In this paper, we consider the problem of state estimation through observations possibly corrupted with both bad data and additive observation noises. A mixed and …
On the Performance of Sparse Recovery via L_p-minimization (0<=p <=1)
Meng Wang, Weiyu Xu, Ao Tang
It is known that a high-dimensional sparse vector x* in R^n can be recovered from low-dimensional measurements y= A^{m*n} x* (m<n) . In this paper, we investigate the recovering ab…
On the Scaling Law for Compressive Sensing and its Applications
Weiyu Xu, Ao Tang
minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity (the size of the sup…