A compound near-far end least square-fourth error minimization foradaptive echo cancellation
This article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| التنسيق: | article |
| منشور في: |
1996
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14317/1/14317_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14317/2/14317_2.doc |
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| _version_ | 1864513384085454848 |
|---|---|
| author | Zerguine, A. |
| author2 | Cowan, C.F.N. Bettayeb, M. unknown |
| author2_role | author author author |
| author_facet | Zerguine, A. Cowan, C.F.N. Bettayeb, M. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Zerguine, A. Cowan, C.F.N. Bettayeb, M. unknown |
| dc.date.none.fl_str_mv | 1996-11 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14317/1/14317_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14317/2/14317_2.doc (1996) A compound near-far end least square-fourth error minimization foradaptive echo cancellation. Signals, Systems and Computers, 1996. 1996 Conference Record of the Thirtieth 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/14317/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This combination results in a substantial improvement of the performance of the proposed scheme over the LMS algorithm in Gaussian and non-Gaussian environments (additive noise). However, the application of the LMF and the LMS algorithms to the near-end and the far-end sections, respectively, results in a poor performance. Simulation results, confirm the superior performance of the new algorithm |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_807859be69604c6c8eb0744bc50a37b8 |
| identifier_str_mv | (1996) A compound near-far end least square-fourth error minimization foradaptive echo cancellation. Signals, Systems and Computers, 1996. 1996 Conference Record of the Thirtieth 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::14317 |
| publishDate | 1996 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A compound near-far end least square-fourth error minimization foradaptive echo cancellationZerguine, A.Cowan, C.F.N.Bettayeb, M.unknownComputerThis article presents a novel algorithm for echo cancellers with near-end and far-end sections. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This combination results in a substantial improvement of the performance of the proposed scheme over the LMS algorithm in Gaussian and non-Gaussian environments (additive noise). However, the application of the LMF and the LMS algorithms to the near-end and the far-end sections, respectively, results in a poor performance. Simulation results, confirm the superior performance of the new algorithmIEEE1996-112020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14317/1/14317_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14317/2/14317_2.doc (1996) A compound near-far end least square-fourth error minimization foradaptive echo cancellation. Signals, Systems and Computers, 1996. 1996 Conference Record of the Thirtieth Asilomar conference, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14317/info:eu-repo/semantics/openAccessoai::143172019-11-01T14:05:18Z |
| spellingShingle | A compound near-far end least square-fourth error minimization foradaptive echo cancellation Zerguine, A. Computer |
| status_str | publishedVersion |
| title | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| title_full | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| title_fullStr | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| title_full_unstemmed | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| title_short | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| title_sort | A compound near-far end least square-fourth error minimization foradaptive echo cancellation |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14317/1/14317_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14317/2/14317_2.doc |