Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization
Stop-and-go decision-directed (S&G-DD) equalization is the most primitive blind equalization (BE) method for the cancelling of intersymbol-interference in data communication systems. Recently, this scheme has been applied to complex-valued multilayer feedforward neural network, giving robust res...
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2002
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14125/1/14125_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14125/2/14125_2.doc |
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| _version_ | 1864513384041414656 |
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| author | Abrar, Shafayat |
| author2 | Zerguine, A. Bettayeb, M. unknown |
| author2_role | author author author |
| author_facet | Abrar, Shafayat Zerguine, A. Bettayeb, M. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Abrar, Shafayat Zerguine, A. Bettayeb, M. unknown |
| dc.date.none.fl_str_mv | 2002-11 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14125/1/14125_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14125/2/14125_2.doc (2002) Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization. Neural Networks, IEEE Transactions on, 13. |
| 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/14125/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Stop-and-go decision-directed (S&G-DD) equalization is the most primitive blind equalization (BE) method for the cancelling of intersymbol-interference in data communication systems. Recently, this scheme has been applied to complex-valued multilayer feedforward neural network, giving robust results with a lower mean-square error at the expense of slow convergence. To overcome this problem, in this work, a fast converging recursive least squares (RLS)-based complex-valued backpropagation learning algorithm is derived for S&G-DD blind equalization. Simulation results show the effectiveness of the proposed algorithm in terms of initial convergence. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_64e16f2777caf129057f3816b4be1165 |
| identifier_str_mv | (2002) Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization. Neural Networks, IEEE Transactions on, 13. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14125 |
| publishDate | 2002 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalizationAbrar, ShafayatZerguine, A.Bettayeb, M.unknownComputerStop-and-go decision-directed (S&G-DD) equalization is the most primitive blind equalization (BE) method for the cancelling of intersymbol-interference in data communication systems. Recently, this scheme has been applied to complex-valued multilayer feedforward neural network, giving robust results with a lower mean-square error at the expense of slow convergence. To overcome this problem, in this work, a fast converging recursive least squares (RLS)-based complex-valued backpropagation learning algorithm is derived for S&G-DD blind equalization. Simulation results show the effectiveness of the proposed algorithm in terms of initial convergence.IEEE2002-112020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14125/1/14125_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14125/2/14125_2.doc (2002) Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization. Neural Networks, IEEE Transactions on, 13. enenhttps://eprints.kfupm.edu.sa/id/eprint/14125/info:eu-repo/semantics/openAccessoai::141252019-11-01T14:04:18Z |
| spellingShingle | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization Abrar, Shafayat Computer |
| status_str | publishedVersion |
| title | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| title_full | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| title_fullStr | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| title_full_unstemmed | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| title_short | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| title_sort | Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14125/1/14125_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14125/2/14125_2.doc |