Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm
In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2000
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14069/1/14069_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14069/2/14069_2.doc |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513402707116032 |
|---|---|
| author | Zerguine, A. |
| author2 | Aboulnasr, T. unknown |
| author2_role | author author |
| author_facet | Zerguine, A. Aboulnasr, T. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Zerguine, A. Aboulnasr, T. unknown |
| dc.date.none.fl_str_mv | 2000 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14069/1/14069_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14069/2/14069_2.doc (2000) Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar conference, 1. |
| 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/14069/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. Sufficient and necessary conditions for the convergence of the algorithm are derived. Furthermore, bounds on the step size to ensure convergence of the LMF algorithm are also derived |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_04fa31af6a6bb7ea133ea9447c8effa4 |
| identifier_str_mv | (2000) Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar conference, 1. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14069 |
| publishDate | 2000 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithmZerguine, A.Aboulnasr, T.unknownComputerIn this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. Sufficient and necessary conditions for the convergence of the algorithm are derived. Furthermore, bounds on the step size to ensure convergence of the LMF algorithm are also derivedIEEE20002020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14069/1/14069_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14069/2/14069_2.doc (2000) Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm. Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14069/info:eu-repo/semantics/openAccessoai::140692019-11-01T14:04:00Z |
| spellingShingle | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm Zerguine, A. Computer |
| status_str | publishedVersion |
| title | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| title_full | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| title_fullStr | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| title_full_unstemmed | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| title_short | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| title_sort | Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14069/1/14069_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14069/2/14069_2.doc |