Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/11662
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dc.contributor.authorNguyen, Viet Minh-
dc.date.accessioned2019-08-22T01:33:46Z-
dc.date.available2019-08-22T01:33:46Z-
dc.date.issued2018-
dc.identifier.issn2525-2224-
dc.identifier.urihttp://dspace.ctu.edu.vn/jspui/handle/123456789/11662-
dc.description.abstractIn previous articles, we proposed single kernel and multikernel equalizers for nonlinear satellite channels with significant improvements in performance. The results demonstrated that the advantages of kernel equalizers over radius basis function neural equalizers are the ability to achieve overall convergence, which results in smaller output errors. However, the limitation of single kernel equalizers is that the output errors are still quite large. Multikernel equalizers can overcome this disadvantage but the calculation is quite complex. To simplify the computation, this paper proposes a multikernel equalizer based on Online Multi-Kernel Normal LMS, MKNLMS, algorithm.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesTạp chí Khoa học Công nghệ Thông tin và Truyền thông;Số 03 .- Tr.39-43-
dc.subjectKernel methodvi_VN
dc.subjectKernel adaptive filtersvi_VN
dc.subjectMultikernel equalizersvi_VN
dc.titleIncreasing the accuracy of nonlinear channel equalizers using multikernel methodvi_VN
dc.typeArticlevi_VN
Appears in Collections:Khoa học Công nghệ Thông tin và Truyền thông

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