323 citations · 1k across the 34 of their papers we have counts for
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Support Recovery for Sparse Signals with Unknown Non-stationary Modulation
Youye Xie, Michael B. Wakin, Gongguo Tang
The problem of estimating a sparse signal from low dimensional noisy observations arises in many applications, including super resolution, signal deconvolution, and radar imaging.…
Atomic Norm Denoising for Complex Exponentials with Unknown Waveform Modulations
Shuang Li, Michael B. Wakin, Gongguo Tang
Non-stationary blind super-resolution is an extension of the traditional super-resolution problem, which deals with the problem of recovering fine details from coarse measurements.…
Simultaneous Sparse Recovery and Blind Demodulation
Youye Xie, Michael B. Wakin, Gongguo Tang
The task of finding a sparse signal decomposition in an overcomplete dictionary is made more complicated when the signal undergoes an unknown modulation (or convolution in the comp…
Stable Super-Resolution of Images: A Theoretical Study
Armin Eftekhari, Tamir Bendory, Gongguo Tang
We study the ubiquitous super-resolution problem, in which one aims at localizing positive point sources in an image, blurred by the point spread function of the imaging device. To…
The Global Optimization Geometry of Low-Rank Matrix Optimization
Zhihui Zhu, Qiuwei Li, Gongguo Tang +1
This paper considers general rank-constrained optimization problems that minimize a general objective function over the set of rectangular matrices that have ran…
Atomic Norm Minimization for Modal Analysis from Random and Compressed Samples
Shuang Li, Dehui Yang, Gongguo Tang +1
Modal analysis is the process of estimating a system's modal parameters such as its natural frequencies and mode shapes. One application of modal analysis is in structural health m…