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dc.contributor.authorPanda, G-
dc.contributor.authorSatpathy, J K-
dc.contributor.authorPatra, S K-
dc.identifier.citationIEEE International Workshop on Intelligent Signal Processing and Communication Systems March 19-21, 1992. P 299 -312en
dc.descriptionPersonal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.description.abstractThis paper propses a highly elegant adaptive equaliser structure using single neuron which possesses significantly low computational complexity compared to recently reported multilayerd Artificial Neural Network Based equaliser. In terms of performance the proposed structure offers minimum residual mean square error in comparision to either the LMS or multilayered based structure. The learning rate of the proposed equalised is faster than that of the multilayered case.en
dc.format.extent454897 bytes-
dc.subjectDigital Adaptive Equaliseren
dc.subjectArtificial Neural Networken
dc.titleA Highly Efficient Adaptive Channel Equaliser Using Single Layer Architectureen
Appears in Collections:Conference Papers

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