Frequency Selective Compressed Sensing
Information Theory
2015-01-19 v2 math.IT
Abstract
In this paper the authors describe the problem of acquisition of interfered signals and formulate a filtering problem. A frequency-selective compressed sensing technique is proposed as a solution to this problem. Signal acquisition is critical in facilitating frequency-selective compressed sensing. The authors propose a filtering compressed sensing parameter, which allows to assess if a given acquisition process makes frequency-selective compressed sensing possible for a given filtering problem. A numerical experiment which shows how the described method works in practice is conducted.
Cite
@article{arxiv.1501.01792,
title = {Frequency Selective Compressed Sensing},
author = {Jacek Pierzchlewski and Thomas Arildsen},
journal= {arXiv preprint arXiv:1501.01792},
year = {2015}
}
Comments
ieee notice page + 4 pages + references page, 7 figures, submitted to IEEE Signal Processing Letters