A variable weight mixed-norm adaptive algorithm

The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Zerguine, A. (author)
مؤلفون آخرون: Abounasr, T. (author), unknown (author)
التنسيق: article
منشور في: 2002
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14487/1/14487_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14487/2/14487_2.doc
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author Zerguine, A.
author2 Abounasr, T.
unknown
author2_role author
author
author_facet Zerguine, A.
Abounasr, T.
unknown
author_role author
dc.creator.none.fl_str_mv Zerguine, A.
Abounasr, T.
unknown
dc.date.none.fl_str_mv 2002
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14487/1/14487_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14487/2/14487_2.doc
(2002) A variable weight mixed-norm adaptive algorithm. Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). 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/14487/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv A variable weight mixed-norm adaptive algorithm
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient conditions and excess steady-state error for the LMF have been derived
eu_rights_str_mv openAccess
format article
id KFUPM_c53a8a3479aa31986bc9f1ba799b1a86
identifier_str_mv (2002) A variable weight mixed-norm adaptive algorithm. Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). 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::14487
publishDate 2002
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A variable weight mixed-norm adaptive algorithmZerguine, A.Abounasr, T.unknownComputerThe convergence analysis of the variable weight mixed-norm LMS-LMF adaptive algorithm is derived. A novel approach is used to study the convergence behavior of three algorithms: mixed-norm LMS- and LMF-based ones. As a by-product of this novel approach, more general and new necessary and sufficient conditions and excess steady-state error for the LMF have been derivedIEEE20022020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14487/1/14487_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14487/2/14487_2.doc (2002) A variable weight mixed-norm adaptive algorithm. Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International conference, 2. enenhttps://eprints.kfupm.edu.sa/id/eprint/14487/info:eu-repo/semantics/openAccessoai::144872019-11-01T14:06:03Z
spellingShingle A variable weight mixed-norm adaptive algorithm
Zerguine, A.
Computer
status_str publishedVersion
title A variable weight mixed-norm adaptive algorithm
title_full A variable weight mixed-norm adaptive algorithm
title_fullStr A variable weight mixed-norm adaptive algorithm
title_full_unstemmed A variable weight mixed-norm adaptive algorithm
title_short A variable weight mixed-norm adaptive algorithm
title_sort A variable weight mixed-norm adaptive algorithm
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14487/1/14487_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14487/2/14487_2.doc