OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Interference Cancellation Channel Estimation Feedback Stochastic Geometry Bi-directional Energy Harvesting Heterogeneous Networks FBMC HetNet Equalization relay networks Ultra Low Power TVWS MIMO interference SC-FDMA CDMA Duplex channel capacity interference suppression 5G Reliability C-V2V in-band full-duplex system OCBT CLI body area networks 5G mobile communication antenna arrays NR positioning health care Resource sharing Location-based LTE-TDD FS-NOMA Power allocation OTDOA hybrid control overhead estimated position overlapping resource block management amplify and forward communication power uncertainty CoMP quality of service cellular radio Rat-dependent positioning telecommunication traffic Handoff Femtocell inter user interference UFMC mode selection GFDM QAM Zigbee frame structure Vehicular communication Vehicle-to-vehicle communication non-orthogonal multiple access QR Factorization Spatial capacity LTE-based V2V Number of training blocks Communication range user fairness Mode 3 resource selection distributed mode maximum likelihood method Metaheuristics cross-link interference Dynamic TDD Uplink SCMA system V2X DQN estimated position updating —Device-to-device (D2D) spectrum partitioning dynamic HetNet indoor positioning D-TDD - Computation offloading multi-access edge computing P-NOMA partial overlap Subband filtering Multi-user Receiver reinforcement learning RSRP weighting smart factory
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.
Statussort Date
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