Recovery of Structured Signals From Corrupted Non-Linear Measurements
Information Theory
2019-01-25 v1 math.IT
Abstract
This paper studies the problem of recovering a structured signal from a relatively small number of corrupted non-linear measurements. Assuming that signal and corruption are contained in some structure-promoted set, we suggest an extended Lasso to disentangle signal and corruption. We also provide conditions under which this recovery procedure can successfully reconstruct both signal and corruption.
Keywords
Cite
@article{arxiv.1901.08349,
title = {Recovery of Structured Signals From Corrupted Non-Linear Measurements},
author = {Zhongxing Sun and Wei Cui and Yulong Liu},
journal= {arXiv preprint arXiv:1901.08349},
year = {2019}
}
Comments
7 pages