Tracking analysis of normalized adaptive algorithms

Tracking analysis of normalized adaptive algorithms is carried out in the presence of two sources of nonstationarities: carrier frequency offset between transmitter and receiver; random variations in the environment. A unified approach is carried out using a mixed-norm-type error nonlinearity. Close...

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Main Author: Moinuddin, M. (author)
Other Authors: Zerguine, A. (author), unknown (author)
Format: article
Published: 2003
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/14222/1/14222_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14222/2/14222_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 2003-04
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14222/1/14222_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14222/2/14222_2.doc
(2003) Tracking analysis of normalized adaptive algorithms. Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International conference, 6.
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/14222/
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 normalized adaptive algorithms
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Tracking analysis of normalized adaptive algorithms is carried out in the presence of two sources of nonstationarities: carrier frequency offset between transmitter and receiver; random variations in the environment. A unified approach is carried out using a mixed-norm-type error nonlinearity. Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.
eu_rights_str_mv openAccess
format article
id KFUPM_28d929f39f0f63e0d4d46acf095229f1
identifier_str_mv (2003) Tracking analysis of normalized adaptive algorithms. Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International conference, 6.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14222
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 normalized adaptive algorithmsMoinuddin, M.Zerguine, A.unknownComputerTracking analysis of normalized adaptive algorithms is carried out in the presence of two sources of nonstationarities: carrier frequency offset between transmitter and receiver; random variations in the environment. A unified approach is carried out using a mixed-norm-type error nonlinearity. Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.IEEE2003-042020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14222/1/14222_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14222/2/14222_2.doc (2003) Tracking analysis of normalized adaptive algorithms. Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International conference, 6. enenhttps://eprints.kfupm.edu.sa/id/eprint/14222/info:eu-repo/semantics/openAccessoai::142222019-11-01T14:04:47Z
spellingShingle Tracking analysis of normalized adaptive algorithms
Moinuddin, M.
Computer
status_str publishedVersion
title Tracking analysis of normalized adaptive algorithms
title_full Tracking analysis of normalized adaptive algorithms
title_fullStr Tracking analysis of normalized adaptive algorithms
title_full_unstemmed Tracking analysis of normalized adaptive algorithms
title_short Tracking analysis of normalized adaptive algorithms
title_sort Tracking analysis of normalized adaptive algorithms
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14222/1/14222_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14222/2/14222_2.doc