OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Heterogeneous Networks Bi-directional Energy Harvesting Stochastic Geometry HetNet relay networks FBMC Equalization channel capacity TVWS CDMA interference in-band full-duplex system Duplex MIMO Ultra Low Power C-V2V 5G Reliability SC-FDMA interference suppression D-TDD CLI indoor positioning reinforcement learning RSRP weighting - Computation offloading smart factory Cell-free multi-access edge computing estimated position overlapping —Device-to-device (D2D) estimated position updating mMIMO control overhead hybrid NR positioning Femtocell Rat-dependent positioning frame structure Zigbee body area networks channel estimation error Handoff CoMP User grouping power uncertainty ultra-dense small cell network mode selection antenna arrays 5G mobile communication UFMC resource block management inter user interference WVAN health care partial overlap GFDM Dynamic TDD Multi-user Receiver Number of training blocks Uplink SCMA system V2X Vehicular communication cross-link interference LTE-TDD FS-NOMA Location-based user fairness Mode 3 QR Factorization Metaheuristics P-NOMA non-orthogonal multiple access dynamic HetNet spectrum partitioning and 5G networks. massive connectivity non-orthogonal multiple access (NOMA) overloading DQN OTDOA distributed mode Communication range resource selection maximum likelihood method Resource sharing Power allocation packet delay
Status : Presented 
Date : 1999-07 
Title : Performance of RBF equalizer in data storage channels 
Authors : Sooyong Choi and Daesik Hong 
Conference : IEEE International Joint Conference on Neural Networks 
Abstract : In order to compensate for severe intersymbol interference (ISI) and combat nonlinear distortions in digital magnetic recording systems, Bayesian equalizer using the radial basis function (RBF) network, REQ, is applied as a channel equalizer to a data storage system using partial erasure (PE) model. It can be seen from various computer simulation results that the REQ has a more complex structure than a conventional linear equalizer (LE) while the bit-error-ratio (BER) of the REQ is lower than that of the LE. Using various simulation parameters such as the width of the basis function, the updating algorithm for the centers in REQ, the recording density of a data storage system, and so forth, the performance in terms of BER of the REQ is examined 
URL : http://ieeexplore.ieee.org/xpl/articleDe...ber=831105 

 Sooyong Choi; Daesik Hong; , "Performance of RBF equalizer in data storage channels," Neural Networks, 1999. IJCNN '99. International Joint Conference on , vol.2, no., pp.1077-1080 vol.2, Jul 1999

doi: 10.1109/IJCNN.1999.831105
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=831105&isnumber=17955
List of Articles
No.
Status Datesort
9 [IEEE IJCNN] Sooyong Choi, KyunByoung Ko and Daesik Hong, "Equalization Techniques Using A Simplified Bilinear Recursive Polynomial Perceptron with Decision Feedback", IJCNN, Jun. 2001 Presented  2001-07 
8 [IEEE IJCNN] Sooyong Choi, KyunByoung Ko and Daesik Hong, "A Multilayer Feedforward Neural Network Having N/4 nodes in Two Hidden Layers", IJCNN, Jun. 2001 file Presented  2001-07 
7 [IEEE IJCNN] KyunByoung Ko, Sooyong Choi, Changeon Kang and Daesik Hong, "A Simplified multiuser Receiver of DS-CDMA System", IJCNN, Jul. 2001 file Presented  2001-07 
6 [IEEE IJCNN] Kyunbyoung Ko, Sooyong Choi and Daesik Hong, "Multi-User Detector with an ability of channel estimation using a RBF network in an MC-CDMA System", IEEE IJCNN, July 2000 Presented  2000-07 
5 [IEEE IJCNN] Sooyong Choi and Daesik Hong, "Equalization Using the Bilinear Recursive Polynomial Perceptron with Decision Feedback", IEEE IJCNN, July 2000 Presented  2000-07 
4 [IEEE IJCNN] Sooyong Choi and Daesik Hong, "A Hybrid Structured Neural Network Receiver in Digital Communication Systems", IEEE IJCNN, July 2000 Presented  2000-07 
» [IEEE IJCNN] Sooyong Choi and Daesik Hong, "'Performance of RBF equalizer in data storage channels", IEEE IJCNN, Jul. 1999 Presented  1999-07 
2 [IEEE IJCNN] Kyunggoo Lee, Cheolwoo You, Sooyong Choi, Sunghwan Ong and Daesik Hong, "Performance Evaluation of Neural Equalizers for the DVD-ROM System", IEEE IJCNN, May, 1998 Presented  1998-05 
1 [IEEE IJCNN] Daesik Hong and O. K. Ersoy, "A Hierarchical Neural Networks Involving Nonlinear Spectral Processing",IEEE IJCNN., June 1989 Presented  1989-06