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- W1898354460 abstract "The radial basis function (RBF) network has been used in a digital channel's equalization for its identical structure to the optimal Bayesian Symbol-decision equalizer. The important problem in the equalization using RBF is to find the correct centers. A clustering algorithm has been proposed to find the desired centers. In fact, the problem can be changed to find the center's element set because of the inter-relation between the center's elements. A fast clustering algorithm using the inter-relation for RBF network equalization is proposed. The simulation results show its better convergency and less calculation than the traditional clustering algorithm." @default.
- W1898354460 created "2016-06-24" @default.
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- W1898354460 date "2003-01-22" @default.
- W1898354460 modified "2023-09-27" @default.
- W1898354460 title "A fast clustering algorithm for equalization using RBF networks" @default.
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- W1898354460 doi "https://doi.org/10.1109/kes.1999.820195" @default.
- W1898354460 hasPublicationYear "2003" @default.
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