The signed regressor least mean fourth (SRLMF) adaptive algorithm

Ulla Faiz, M., Zerguine, A. and Zidouri, A. 2010. The signed regressor least mean fourth (SRLMF) adaptive algorithm. 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010). Kuala Lumpur, Malaysia 10 - 13 May 2010 IEEE . https://doi.org/10.1109/isspa.2010.5605532

TitleThe signed regressor least mean fourth (SRLMF) adaptive algorithm
AuthorsUlla Faiz, M., Zerguine, A. and Zidouri, A.
TypeConference paper
Abstract

In this work, a novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that reduces the computational cost and complexity while maintaining good performance is presented. Expressions are derived for the steady-state excess-mean-square error (EMSE) of the SRLMF algorithm in a stationary environment. Moreover, the tracking analysis of the proposed algorithm is also provided in a nonstationary environment. Computer simulations are carried out to corroborate the theoretical findings. It is shown that there is a good match between the theoretical and simulation results. It is also shown that the SRLMF algorithm has no performance degradation when compared with the least mean fourth (LMF) algorithm.

Year2010
Conference 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)
PublisherIEEE
Publication dates
Published2010
Journal10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
Digital Object Identifier (DOI)https://doi.org/10.1109/isspa.2010.5605532
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-78650273141&partnerID=MN8TOARS

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