977 citations · 2k across the 26 of their papers we have counts for
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Achieving High Resolution for Super-resolution via Reweighted Atomic Norm Minimization
Zai Yang, Lihua Xie
The super-resolution theory developed recently by Candès and Fernandes-Granda aims to recover fine details of a sparse frequency spectrum from coarse scale information only. The th…
Enhancing Sparsity and Resolution via Reweighted Atomic Norm Minimization
Zai Yang, Lihua Xie
The mathematical theory of super-resolution developed recently by Candès and Fernandes-Granda states that a continuous, sparse frequency spectrum can be recovered with infinite pre…
On Gridless Sparse Methods for Line Spectral Estimation From Complete and Incomplete Data
Zai Yang, Lihua Xie
This paper is concerned about sparse, continuous frequency estimation in line spectral estimation, and focused on developing gridless sparse methods which overcome grid mismatches…
Continuous Compressed Sensing With a Single or Multiple Measurement Vectors
Zai Yang, Lihua Xie
We consider the problem of recovering a single or multiple frequency-sparse signals, which share the same frequency components, from a subset of regularly spaced samples. The probl…
Exact Joint Sparse Frequency Recovery via Optimization Methods
Zai Yang, Lihua Xie
Frequency recovery/estimation from discrete samples of superimposed sinusoidal signals is a classic yet important problem in statistical signal processing. Its research has recentl…