DocumentCode :
3100096
Title :
A suboptimal Bayesian equalizer using an nonlinear multilayer combiner
Author :
Choi, Sooyong ; Hong, Daesik
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
1999
fDate :
36373
Firstpage :
353
Lastpage :
362
Abstract :
In order to reduce the complexity and enhance the performance of the Bayesian equalizer (REQ) using the radial basis function (RBF) network, a new equalizer (RNEQ) using the RBF network with a nonlinear multilayer combiner is proposed. The proposed RNEQ produces the output using nonlinear multilayer combiner. The RNEQ is applied to a digital communication system and a nonlinear magnetic storage system. From computer simulation results, the RNEQ with almost 70% reduced structure over the REQ shows nearly the same performance in a digital communication system. In a nonlinear digital storage system the RNEQ is superior to the REQ. In addition, the RNEQ converges to lower mean squared error value than the other equalizers
Keywords :
Bayes methods; digital magnetic recording; equalisers; magnetic storage; multilayer perceptrons; optimisation; radial basis function networks; telecommunication computing; RBF network; RNEQ; complexity reduction; computer simulation results; convergence; digital communication system; mean squared error; multilayer preceptron; nonlinear digital storage system; nonlinear magnetic storage system; nonlinear multilayer combiner; performance; radial basis function network; suboptimal Bayesian equalizer; Bayesian methods; Binary phase shift keying; Computer simulation; Digital communication; Equalizers; Magnetic multilayers; Nonhomogeneous media; Nonlinear magnetics; Radial basis function networks; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop.
Conference_Location :
Madison, WI
Print_ISBN :
0-7803-5673-X
Type :
conf
DOI :
10.1109/NNSP.1999.788154
Filename :
788154
Link To Document :
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