2 citations · 4 across the 2 of their papers we have counts for
2 papers
math.ST2019★ 2 cited
IRLS for Sparse Recovery Revisited: Examples of Failure and a Remedy
Aleksandr Y. Aravkin, James V. Burke, Daiwei He
Compressed sensing is a central topic in signal processing with myriad applications, where the goal is to recover a signal from as few observations as possible. Iterative re-weight…
cs.IT2019★ 2 cited
On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise
Aleksandr Aravkin, James Burke, Daiwei He
We study a class of real robust phase retrieval problems under a Gaussian assumption on the coding matrix when the received signal is sparsely corrupted by noise. The goal is to es…