28 citations · 71 across the 4 of their papers we have counts for
4 papers
Near-Optimal Detection in MIMO Systems using Gibbs Sampling
Morten Hansen, Babak Hassibi, Alexandros G. Dimakis +1
In this paper we study a Markov Chain Monte Carlo (MCMC) Gibbs sampler for solving the integer least-squares problem. In digital communication the problem is equivalent to performi…
Breaking through the Thresholds: an Analysis for Iterative Reweighted Minimization via the Grassmann Angle Framework
Weiyu Xu, M. Amin Khajehnejad, Salman Avestimehr +1
It is now well understood that minimization algorithm is able to recover sparse signals from incomplete measurements [2], [1], [3] and sharp recoverable sparsity threshold…
Sparse Recovery of Positive Signals with Minimal Expansion
M. Amin Khajehnejad, Alexandros G. Dimakis, Weiyu Xu +1
We investigate the sparse recovery problem of reconstructing a high-dimensional non-negative sparse vector from lower dimensional linear measurements. While much work has focused o…
Weighted Minimization for Sparse Recovery with Prior Information
M. Amin Khajehnejad, Weiyu Xu, Salman Avestimehr +1
In this paper we study the compressed sensing problem of recovering a sparse signal from a system of underdetermined linear equations when we have prior information about the proba…