3 citations · 8 across the 10 of their papers we have counts for
12 papers
A Unified Recovery of Structured Signals Using Atomic Norm
Xuemei Chen
In many applications we seek to recover signals from linear measurements far fewer than the ambient dimension, given the signals have exploitable structures such as sparse vectors…
Regularized Kaczmarz Algorithms for Tensor Recovery
Xuemei Chen, Jing Qin
Tensor recovery has recently arisen in a lot of application fields, such as transportation, medical imaging and remote sensing. Under the assumption that signals possess sparse and…
On the Search for Tight Frames of Low Coherence
Xuemei Chen, Douglas P. Hardin, Edward B. Saff
We introduce a projective Riesz -kernel for the unit sphere and investigate properties of -point energy minimizing configurations for such a kernel. We sho…
Identify Equivalent Frames
Xuemei Chen, Yang Chu, Min Zheng
A frame is an overcomplete set that can represent vectors(signals) faithfully and stably. Two frames are equivalent if signals can be essentially represented in the same way, which…
Preserving Injectivity under Subgaussian Mappings and Its Application to Compressed Sensing
Pete Casazza, Xuemei Chen, Richard Lynch
The field of compressed sensing has become a major tool in high-dimensional analysis, with the realization that vectors can be recovered from relatively very few linear measurement…
Frame Scalings: A Condition Number Approach
Peter Casazza, Xuemei Chen
Scaling frame vectors is a simple and noninvasive way to construct tight frames. However, not all frames can be modifed to tight frames in this fashion, so in this case we explore…