OFDM Multiple Antennas Cognitive Radio Relay Synchronization CDMA Channel Estimation Spectrum Sharing Interference Cancellation Full duplex Spectrum Sensing Neural Networks Resource Allocation Stochastic Geometry Equalizer Bi-Directional Feedback Femtocell Heterogeneous Networks Energy Harvesting Device-to-Device (D2D) Cell Search Spectral efficiency NOMA FBMC interference management Dynamic TDD Cross-link interference SINR mismatch problem HetNet Idle cells Ultra-dense small cell networks achievable sum rate outage probability multi-spectral full-duplex relay selection diversity bursty traffic model mode selection Handoff CP-OFDM non-orthogonal multiple access self-interference cancellation Complexity HST full-duplex cellular interference coordination Cognitive relay networks Time spreading beamforming Link adaptation Heterogeneous channel estimation capability coexistence MU-MIMO full-spreading NOMA GFDM Bi-directional full-duplex OQAM sensing duration Correlated MIMO Simultaneous Sensing and Transmission transmission capacity (TC) Two-way communications in-band full-duplex system automatic repeat request (ARQ) UWB interference mitigation TS-W-OFDM Windowing time-frequency efficiency eigen decomposition pilot signal 5G networks prototype filter Aggregate interference Long Term Evolution-Advanced interference to noise ratio resource size control link reliability mixed numerology Vehicle-to-vehicle communication LTE-based V2V Coexistence scenarios Resource management Singular Vale Decomposition Cooperative systems Filtered OFDM tabu-search Grant-free Transmission Reliability Vehicle-to-Vehicle C-V2V Mobility MLP 5G flexible duplex Preamble Asynchronous Transmission Railway Deep learning massive connectivity
Status : Published 
Date : 1999-02 
Title : Equalization techniques using neural networks for digital versatile disk-read-only memory systems 
Authors : Kyunggoo Lee, Sooyong Choi, Sunghwan Ong, Cheolwoo You, and Daesik Hong 
Journal : Optical Engineering 
Abstract : Several equalizers are applied to digital versatile disk–read-only memory (DVD-ROM) systems. As a result of an imperfect writing process, nonlinear distortion may be generated in the replay signal. Neural equalizers, which have strong nonlinear mapping capabilities, are applied to the system to compensate for the nonlinear distortion. We perform computer simulations for two systems: a DVD-ROM system with and without run-length-limited (RLL) modulation code. Nonlinear distortion such as domain bloom is the dominant interference of the channel in a DVD-ROM system with RLL code because this code reduces the linear intersymbol interference (ISI). Thus the experimental results with RLL code show that the signal-to-noise ratio (SNR) gain of equalizers using neural networks over conventional equalizers increases in proportion to the nonlinearity of the DVD-ROM channel. When RLL is not used, however, linear and nonlinear ISI is the dominant interference of a DVD-ROM channel. Therefore equalizers with a decision-feedback section in a DVD-ROM system with RLL code outperform equalizers without a decision-feedback section in eliminating ISI. Consequently among the equalizers in our computer simulations, the neural decision-feedback equalizer (NDFE) showed the best bit error rate (BER) performance. © 1999 Society of Photo-Optical Instrumentation Engineers. 
URL : http://spiedigitallibrary.org/oe/resourc...i2/p256_s1 

Kyunggoo Lee, Sooyong Choi, Sunghwan Ong, Cheolwoo You and Daesik Hong, "Equalization techniques using neural networks for digital versatile disk–read-only memory systems", Opt. Eng. 38, 256 (1999); http://dx.doi.org/10.1117/1.602084

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» [Optical Engineering] Kyunggoo Lee, Sooyong Choi, Sunghwan Ong, Cheolwoo You, and Daesik Hong, "Equalization techniques using neural networks for digital versatile disk-read-only memory systems", Optical Eng., Feb 1999 Published  1999-02