Ke Wei

activity

20162020

most citedSpectral Compressed Sensing via Projected Gradient Descent

3 citations · 8 across the 4 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

math.OC2017★ 3 cited

Spectral Compressed Sensing via Projected Gradient Descent

Jian-Feng Cai, Tianming Wang, Ke Wei

Let $x \in C^{n}$ be a spectrally sparse signal consisting of $r$ complex sinusoids with or without damping. We consider the spectral compressed sensing problem, which is abou…

cs.IT2017

Painless Breakups -- Efficient Demixing of Low Rank Matrices

Thomas Strohmer, Ke Wei

Assume we are given a sum of linear measurements of $s$ different rank- $r$ matrices of the form $y = \sum_{k = 1}^{s} A_{k} (X_{k})$ . When and under which conditions is it po…