Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities

Tracking analysis of the normalized least mean square (NLMS) algorithm is carried out in the presence of two sources of nonstationarities: 1) carrier frequency offset between transmitter and receiver; 2) random variations in the environment. A novel approach to this analysis is carried out using the...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Moinuddin, M. (author)
مؤلفون آخرون: Zerguine, A. (author), unknown (author)
التنسيق: article
منشور في: 2003
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14560/1/14560_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14560/2/14560_2.doc
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author Moinuddin, M.
author2 Zerguine, A.
unknown
author2_role author
author
author_facet Moinuddin, M.
Zerguine, A.
unknown
author_role author
dc.creator.none.fl_str_mv Moinuddin, M.
Zerguine, A.
unknown
dc.date.none.fl_str_mv 2003-09
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14560/1/14560_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14560/2/14560_2.doc
(2003) Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities. Signal Processing Letters, IEEE, 10.
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/14560/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Tracking analysis of the normalized least mean square (NLMS) algorithm is carried out in the presence of two sources of nonstationarities: 1) carrier frequency offset between transmitter and receiver; 2) random variations in the environment. A novel approach to this analysis is carried out using the concept of energy conservation. Close agreement between analytical analysis and simulation results is obtained. The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. Moreover, the ability of the adaptive algorithm to track the variations in the environment is shown to degrade with increasing frequency offset.
eu_rights_str_mv openAccess
format article
id KFUPM_f941fae70533c4a99bc534cd1fab3389
identifier_str_mv (2003) Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities. Signal Processing Letters, IEEE, 10.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14560
publishDate 2003
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationaritiesMoinuddin, M.Zerguine, A.unknownComputerTracking analysis of the normalized least mean square (NLMS) algorithm is carried out in the presence of two sources of nonstationarities: 1) carrier frequency offset between transmitter and receiver; 2) random variations in the environment. A novel approach to this analysis is carried out using the concept of energy conservation. Close agreement between analytical analysis and simulation results is obtained. The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. Moreover, the ability of the adaptive algorithm to track the variations in the environment is shown to degrade with increasing frequency offset.IEEE2003-092020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14560/1/14560_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14560/2/14560_2.doc (2003) Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities. Signal Processing Letters, IEEE, 10. enenhttps://eprints.kfupm.edu.sa/id/eprint/14560/info:eu-repo/semantics/openAccessoai::145602019-11-01T14:06:23Z
spellingShingle Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
Moinuddin, M.
Computer
status_str publishedVersion
title Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
title_full Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
title_fullStr Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
title_full_unstemmed Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
title_short Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
title_sort Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14560/1/14560_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14560/2/14560_2.doc