@inproceedings{0e0114247ffc4da7b4915e977bccd717,
title = "Convergence and tracking analysis of the ε-NSRLMF algorithm",
abstract = "In this work, the convergence and tracking behavior of the ε-normalized sign regressor least mean fourth (NSRLMF) algorithm are analyzed in the presence of white and correlated Gaussian data. Furthermore, the stability bound on the step-size of the ε-NSRLMF algorithm to ensure convergence in the mean, which also leads us to the mean convergence of the ε-normalized sign regressor least mean mixed-norm (NSRLMMN) algorithm is derived. Finally, simulation results are conducted to confirm the validity and performance of the proposed adaptive algorithm for both white and correlated Gaussian regressors.",
keywords = "Convergence, LMF, NLMF, NSRLMF, SRLMF, Tracking",
author = "Faiz, \{Mohammed Mujahid Ulla\} and Azzedine Zerguine",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638747",
language = "English",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "5657--5660",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
}