Robust blind methods using $\ell_p$ quasi norms
Information Theory
2013-03-13 v1 math.IT
Abstract
It was shown in a previous work that some blind methods can be made robust to channel order overmodeling by using the or quasi-norms. However, no theoretical argument has been provided to support this statement. In this work, we study the robustness of subspace blind based methods using or quasi-norms. For the norm, we provide the sufficient and necessary condition that the channel should satisfy in order to ensure its identifiability in the noise-less case. We then study its frequency of occurrence, and deduce the effect of channel parameters on the robustness of blind subspace methods using norms.
Cite
@article{arxiv.1303.2725,
title = {Robust blind methods using $\ell_p$ quasi norms},
author = {Abla Kammoun},
journal= {arXiv preprint arXiv:1303.2725},
year = {2013}
}