3 citations · 3 across the 2 of their papers we have counts for
4 papers
Spectral Compressed Sensing via Projected Gradient Descent
Jian-Feng Cai, Tianming Wang, Ke Wei
Let be a spectrally sparse signal consisting of complex sinusoids with or without damping. We consider the spectral compressed sensing problem, which is abou…
Painless Breakups -- Efficient Demixing of Low Rank Matrices
Thomas Strohmer, Ke Wei
Assume we are given a sum of linear measurements of different rank- matrices of the form . When and under which conditions is it po…
Rapid, Robust, and Reliable Blind Deconvolution via Nonconvex Optimization
Xiaodong Li, Shuyang Ling, Thomas Strohmer +1
We study the question of reconstructing two signals and from their convolution . This problem, known as {\em blind deconvolution}, pervades many areas of scien…
Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion
Jian-Feng Cai, Tianming Wang, Ke Wei
A spectrally sparse signal of order is a mixture of damped or undamped complex sinusoids. This paper investigates the problem of reconstructing spectrally sparse signals fr…