528 citations · 2.5k across the 61 of their papers we have counts for
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cs.IT2014★ 5 cited
Super-Resolution Compressed Sensing: A Generalized Iterative Reweighted L2 Approach
Jun Fang, Huiping Duan, Jing Li +2
Conventional compressed sensing theory assumes signals have sparse representations in a known, finite dictionary. Nevertheless, in many practical applications such as direction-of-…
cs.IT2014
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information
Jun Fang, Yanning Shen, Fuwei Li +1
It has been shown both experimentally and theoretically that sparse signal recovery can be significantly improved given that part of the signal's support is known \emph{a priori}.…
cs.IT2014★ 81 cited
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and Sparse Signal Recovery
Jun Fang, Jing Li, Yanning Shen +2
In many practical applications such as direction-of-arrival (DOA) estimation and line spectral estimation, the sparsifying dictionary is usually characterized by a set of unknown p…