OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Neural Networks Spectrum Sensing Full duplex Resource Allocation Stochastic Geometry Equalizer Feedback Bi-Directional Energy Harvesting Femtocell Heterogeneous Networks Device-to-Device (D2D) Cell Search FBMC HetNet Idle cells Ultra-dense small cell networks Spectral efficiency SINR mismatch problem automatic repeat request (ARQ) in-band full-duplex system Two-way communications transmission capacity (TC) Correlated MIMO sensing duration self-interference cancellation Simultaneous Sensing and Transmission full-duplex cellular multi-spectral beamforming UWB achievable sum rate outage probability Cognitive relay networks selection diversity full-duplex relay Latency Vehicular and wireless technologies Asynchronized system Cross-link interference Cellular networks coexistence Channel estimation error Ultra-dense small cell Shortened TTI UL grant free NOMA mode selection Bi-directional full-duplex OQAM Link adaptation Iterative decoder LTE-TDD Dynamic TDD bursty traffic model CP-OFDM MIMO singular value decomposition Time spreading K-S statistics interference coordination Vehicle-to-vehicle communication eigen decomposition 5G networks GFDM MU-MIMO TS-W-OFDM prototype filter pilot signal Windowing time-frequency efficiency Long Term Evolution-Advanced Aggregate interference LTE-based V2V Vehicle-to-Vehicle Coexistence scenarios resource size control interference to noise ratio interference management mixed numerology Cooperative systems Resource management link reliability Reliability non-orthogonal multiple access full-spreading NOMA massive connectivity Complexity Filtered OFDM C-V2V tabu-search Singular Vale Decomposition
Status : Published 
Date : 1997-09 
Title : A Decision Feedback Recurrent Neural Equalizer for Digital Communication 
Authors : Sunghwan Ong, Sooyong Choi, Cheolwoo You, and Daesik Hong 
Journal : IEEE Transactions on Magnetics 
Abstract : In this paper, we introduce an adaptive decision feedback recurrent neural equalizer (DFRNE) whose small size and high performance makes it suitable for high-speed channel equalization. By evaluating its performance through computer simulations for various channels, the DFRNE has comparable performance with traditional equalizers when the channel interferences are mild; it outperforms them when the channel's transfer function has spectral null or when severe nonlinear distortion is present. In addition, the DFRNE, being essentially an IIR filter, is shown to outperform multilayer perceptron equalizers in linear and nonlinear channel equalization cases 
URL : http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=611653 
Sunghwan Ong; Sooyong Choi; Cheolwoo You; Daesik Hong; , "A decision feedback recurrent neural equalizer for digital communication," Neural Networks,1997., International Conference on , vol.1, no., pp.142-147 vol.1, 9-12 Jun 1997
doi: 10.1109/ICNN.1997.611653
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=611653&isnumber=13361
List of Articles
No.
Statussort Date
7 [IEEE Trans. Magn.] Choongchae Woo, Hangyu Cho and Daesik Hong, "A dual noise-predictive partial response decision-feedback equalizer for RLL(1,x) coded perpendicular magnetic recording channels", IEEE Trans. Magnetics, Sep 2003 file Published  2003-09 
6 [IEEE Trans. Magn.] Choongchae Woo, Hangyu Cho and Daesik Hong, "An extended dual decision-feedback equalizer for high-density perpendicular magnetic recording channels", IEEE Trans. Magnetics, Sep 2002 Published  2002-09 
5 [IEEE Trans. Magn.] 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 Published  1999-09 
4 [IEEE Commun. Lett.] Sooyong Choi, Sunghwan Ong, Cheolwoo You and Daesik Hong, "A Quadratic Sigmoid Neural Equalizer for Nonlinear Digital Magnetic Recording Channels", IEEE Comm. Letters, Sep 1998 Published  1998-09 
3 [IEEE Trans. Signal Process.] Sunghwan Ong, Cheolwoo You, Sooyong Choi and Daesik Hong, "A Decision Feedback Recurrent Neural Equalizer as an Infinite Impulse Response Filter", IEEE Trans. Signal Processing, Nov 1997 Published  1997-11 
» [IEEE Trans. Magn.] Sunghwan Ong, Sooyong Choi, Cheolwoo You, and Daesik Hong, "A Decision Feedback Recurrent Neural Equalizer for Digital Communication", IEEE Trans. Magnetics, Sep 1997 Published  1997-09 
1 [IEEE Trans. Magn.] Sooyong Choi, Sunghwan Ong, Cheolwoo You, Daesik Hong and Jachee Cho, "Performance of Neural Equalizers on Partial Erasure Model", IEEE Trans. Magnetics, Sep 1997 Published  1997-09