Adaptive step-size sign least mean squares

In this paper, we propose a novel structure for adaptive sign least mean squares (ASLMS). A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. It is shown how the algorithm can be implemented with no real multiplication. Simulat...

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Main Author: Aldajani, M.A. (author)
Other Authors: unknown (author)
Format: article
Published: 2004
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Online Access:https://eprints.kfupm.edu.sa/id/eprint/14451/1/14451_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14451/2/14451_2.doc
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author Aldajani, M.A.
author2 unknown
author2_role author
author_facet Aldajani, M.A.
unknown
author_role author
dc.creator.none.fl_str_mv Aldajani, M.A.
unknown
dc.date.none.fl_str_mv 2004-05
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14451/1/14451_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14451/2/14451_2.doc
(2004) Adaptive step-size sign least mean squares. Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International conference, 2.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14451/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Adaptive step-size sign least mean squares
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper, we propose a novel structure for adaptive sign least mean squares (ASLMS). A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. It is shown how the algorithm can be implemented with no real multiplication. Simulation results show that the performance of the proposed algorithm can be made arbitrarily close to that of the original least means squares algorithm.
eu_rights_str_mv openAccess
format article
id KFUPM_bbf1ffbf41acf3b0124f5305f694d0f6
identifier_str_mv (2004) Adaptive step-size sign least mean squares. Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International conference, 2.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14451
publishDate 2004
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
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repository_id_str
spelling Adaptive step-size sign least mean squaresAldajani, M.A.unknownComputerIn this paper, we propose a novel structure for adaptive sign least mean squares (ASLMS). A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. It is shown how the algorithm can be implemented with no real multiplication. Simulation results show that the performance of the proposed algorithm can be made arbitrarily close to that of the original least means squares algorithm.IEEE2004-052020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14451/1/14451_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14451/2/14451_2.doc (2004) Adaptive step-size sign least mean squares. Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International conference, 2. enenhttps://eprints.kfupm.edu.sa/id/eprint/14451/info:eu-repo/semantics/openAccessoai::144512019-11-01T14:05:53Z
spellingShingle Adaptive step-size sign least mean squares
Aldajani, M.A.
Computer
status_str publishedVersion
title Adaptive step-size sign least mean squares
title_full Adaptive step-size sign least mean squares
title_fullStr Adaptive step-size sign least mean squares
title_full_unstemmed Adaptive step-size sign least mean squares
title_short Adaptive step-size sign least mean squares
title_sort Adaptive step-size sign least mean squares
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14451/1/14451_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14451/2/14451_2.doc