L2-Stability Analysis of the SM-NLMS Algorithm
Signal Processing
2020-01-14 v1
Abstract
In this letter, we analyze, two properties, the local and the global robustness of the set-membership normalized least mean square (SM-NLMS) algorithm. We will show that the SM-NLMS algorithm has l2-stability. Indeed, the SM-NLMS algorithm never diverges; no matter how the parameters of the SM-NLMS algorithm has been selected. Ultimately, the numerical simulations corroborate the validity of our analysis.
Cite
@article{arxiv.2001.03616,
title = {L2-Stability Analysis of the SM-NLMS Algorithm},
author = {Rajab Shabaani},
journal= {arXiv preprint arXiv:2001.03616},
year = {2020}
}
Comments
in Persian language