@inproceedings{dcf9c1c62bb0400e9fdaf1afedcad7c1,
title = "Convergence and tracking analysis of a constrained least mean fourth adaptive algorithm",
abstract = "It is a well established fact that the addition of a constraint to an adaptive algorithm improves its performance properties. Consequently, in this work, a noise-constrained least mean fourth (NCLMF) adaptive algorithm is developed. The NCLMF algorithm is based on a constrained minimization problem that includes knowledge of the noise variance. Moreover, this noise constrained LMF algorithm can be seen as a variable-step-size LMF algorithm. The convergence analysis as well the tracking analysis of the NCLMF adaptive algorithm are developed using the concept of energy conservation. Finally, simulation results are presented to demonstrate the superiority of the NCLMF algorithm over the conventional LMF algorithm as well corroborating the theoretical findings.",
keywords = "Adaptive filters, Constrained optimization, LMF, LMS, NCLMF algorithm, Noise constraints",
author = "Imam, \{Syed Ali Aamir\} and Azzedine Zerguine and Muhammad Moinuddin",
year = "2010",
doi = "10.1109/ICASSP.2010.5495880",
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 = "3706--3709",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
}