@inproceedings{9c683dbf87544709bbefd5ce420edb41,
title = "GpLMS: Generalized Parallel Least Mean Square Algorithm for Partial Observations",
abstract = "We propose a generalized parallel least mean square algorithm (GpLMS) to deal with partial observation scenarios. GpLMS takes advantage of a two stage parallel LMS architecture to enhance the convergence rate and updates weight vector based on observed entries to obtain a low computational complexity. We compare the results from our proposed algorithm with the state-of-the-arts in an adaptive beamforming context to illustrate its effectiveness.",
keywords = "Adaptive beamforming, Array processing, Least mean square (LMS), Parallel LMS",
author = "Ghattas Akkad and Nguyen, \{Viet Dung\} and Ali Mansour",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 14th International KES Conference on Intelligent Decision Technologies, KES-IDT 2022 ; Conference date: 20-06-2022 Through 22-06-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1007/978-981-19-3444-5\_38",
language = "English",
isbn = "9789811934438",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "441--448",
editor = "Ireneusz Czarnowski and Howlett, \{Robert J.\} and Howlett, \{Robert J.\} and Jain, \{Lakhmi C.\}",
booktitle = "Intelligent Decision Technologies - Proceedings of the 14th KES-IDT 2022 Conference",
}