@inproceedings{50badb189edb4677b28ff96c6ed4ad32,
title = "On the sparsity-aware partial-update NLMS algorithms for UWB channel estimation",
abstract = "Partial updating of filter coefficients is an effective method for reducing computational load and power consumption in adaptive filter implementation. In this paper, we present a class of MMax partial update NLMS algorithms suitable for estimating UWB channels, whose characteristics have shown to vary between highly sparse and dense depending on the channel environment under consideration and the measured bandwidth. Simulation results show improved performance of the proposed algorithms in terms of convergence speed, and computational complexity.",
keywords = "compressive sensing, NLMS algorithm, sparse channel estimation, ultra wideband",
author = "Solomon Nunoo and Razali Ngah and Chude-Okonkwo, {Uche A.K.} and Olakunle Elijah and Igbafe Orikumhi and Leow, {Chee Yen}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 ; Conference date: 19-10-2015 Through 21-10-2015",
year = "2016",
month = feb,
day = "17",
doi = "10.1109/ICSIPA.2015.7412213",
language = "English",
series = "IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "326--331",
booktitle = "IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings",
address = "United States",
}