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Sooyong Choi and Daesik Hong, "Nonlinear Multilayer Combining Techniques for Bayesian Equalizers Using the Radial Basis Function Network as a Digital Magnetic Storage Equalizer", IEEE Trans. Magnetics, Sep 1999
[IEEE Trans. Magn.]
조회 32948
Status : | Published |
---|---|
Date : | 1999-09 |
Title : | Nonlinear Multilayer Combining Techniques for Bayesian Equalizers Using the Radial Basis Function Network as a Digital Magnetic Storage Equalizer |
Authors : | Sooyong Choi and Daesik Hong |
Journal : | IEEE Transactions on Magnetics |
Abstract : | In order to reduce the complexity and enhance the performance of the Bayesian equalizer using the radial basis function (RBF) network, a new equalizer using the RBF network with a nonlinear multilayer combiner (RNEQ) is proposed. The RNEQ is applied to a digital storage system in which the primary element of impairment is nonlinear distortion due to partial erasure. From computer simulation results, the RNEQ with almost 70% reduced structural complexity over the conventional equalizer using RBF network has nearly the same performance in terms of bit-error rate (BER) and mean squared error |
URL : | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=800812 |
Sooyong Choi; Daesik Hong; , "Nonlinear multilayer combining techniques for Bayesian equalizers using the radial basis function network as a digital magnetic storage equalizer," Magnetics, IEEE Transactions on , vol.35, no.5, pp.2319-2321, Sep 1999
doi: 10.1109/20.800812
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=800812&isnumber=17387
doi: 10.1109/20.800812
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=800812&isnumber=17387
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