@inproceedings{d7d8e586389442019bdd9d5bcf5cd822,
title = "On the convergence analysis of a variable step-size LMF algorithm of the quotient form",
abstract = "The least-mean fourth (LMF) algorithm is best known for its fast convergence and low steady-state error especially in non-Gaussian noise environments. Recently, there has been a surge of interest in the LMF algorithm with different variants being proposed. The fact that different variable step-size least-mean square algorithms have shown to outperform its fixed step-size counterpart, a variable step-size least-mean fourth algorithm of the quotient form (VSSLMFQ) is proposed here. Therefore in this work, the proposed algorithm is analysed for its performance in the steady-state and it is shown to achieve a lower steady-state error then the traditional LMF algorithm. Finally, a number of computer simulations are carried out to substantiate the theoretical findings.",
keywords = "Adaptive filters, LMF, LMS, Quotient LMF, Variable step-size LMF",
author = "Asad, \{Syed Muhammad\} and Azzedine Zerguine and Muhammad Moinuddin",
year = "2010",
doi = "10.1109/ICASSP.2010.5495867",
language = "English",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3722--3725",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
}