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Equalization of channel distortion using nonlinear neuro-fuzzy network (Abiyev, Rahib H.,)
Bibliographical information (record 264050)
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Equalization of channel distortion using nonlinear neuro-fuzzy network
Author:
 Abiyev, Rahib H., Search Author in Amazon Books

Publisher:
Springer-Verlag Berlin,
Edition:
 2007.
Classification:
 TJ213
Detailed notes
    - This paper presents the equalization of channel distortion by using a Nonlinear Neuro-Fuzzy Network (NNFN). The NFNN is constructed on the basis of fuzzy rules that incorporate nonlinear functions. The learning algorithm of NNFN is presented. The NFNN is applied for equalization of channel distortion of time-invariant and time-varying channels. The developed equalizer recovers the transmitted signal efficiently. The performance of NNFN based equalizer is compared with the performance of other nonlinear equalizers. The effectiveness of the proposed system is evaluated using simulation results of NNFN based equalization system.
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Status
Library
Section
EOL-29
Item available
NEU Grand LibraryOnline (TJ213 .E68 2007)
Online electronic
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