10 citations · 12 across the 9 of their papers we have counts for
4 papers · 1 filter
Non-Asymptotic Performance Guarantees for MLE under a Gumbel-Softmax Index Model with Phaseless Measurements
Jinchi Chen, Mingxi Hu, Peigang Jiang +3
This paper studies the recovery of a complex-valued signal from index-only observations generated by a phaseless Gumbel-Softmax model. The model is motivated by limited-feedback fr…
Blind Super-resolution of Point Sources via Projected Gradient Descent
Sihan Mao, Jinchi Chen
Blind super-resolution can be cast as a low rank matrix recovery problem by exploiting the inherent simplicity of the signal and the low dimensional structure of point spread funct…
Blind Super-resolution via Projected Gradient Descent
Sihan Mao, Jinchi Chen
Blind super-resolution can be cast as low rank matrix recovery problem by exploiting the inherent simplicity of the signal. In this paper, we develop a simple yet efficient nonconv…
Blind super-resolution of point sources via fast iterative hard thresholding
Zengying Zhu, Jinchi Chen, Weiguo Gao
In this work, we develop a provable fast algorithm for blind super-resolution based on the low rank structure of vectorized Hankel matrix associated with the target matrix. Theoret…