Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery

2 code implementations • 13 Oct 2019 • HanQin Cai, Jian-Feng Cai, Tianming Wang, Guojian Yin

We study the robust recovery problem for the spectrally sparse signal under the fully observed setting, which is about recovering $\boldsymbol{x}$ and a sparse corruption vector $\boldsymbol{s}$ from their sum $\boldsymbol{z}=\boldsymbol{x}+\boldsymbol{s}$.

Computational Efficiency