OFDM Relay Cognitive Radio Multiple Antennas Resource Allocation Full Duplex Spectrum Sensing Synchronization Spectrum Sharing Channel Estimation Interference Cancellation Energy Harvesting Stochastic Geometry Feedback Heterogeneous Networks Bi-directional relay networks FBMC Equalization channel capacity Duplex SC-FDMA Ultra Low Power TVWS CDMA in-band full-duplex system 5G C-V2V Reliability HetNet interference suppression interference frame structure 5G mobile communication antenna arrays Handoff health care intercarrier interference intersymbol interference UFMC Femtocell cross-link interference Dynamic TDD user fairness hybrid Zigbee QAM body area networks CFO Empty cell On/off algorithm Ultra-dense small cell System level simulation SCMA maximum likelihood method MPA detector Timing and frequency offset inter user interference quality of service amplify and forward communication power uncertainty cellular radio telecommunication traffic WVAN resource block management CoMP V2X Traffic Poisson arrival Subband filtering mMTC Capacity Time-division duplex Short burst transmission Vehicle-to-vehicle communication Spatial capacity OCBT Number of training blocks Communication range LTE-based V2V Vehicular communication Uplink SCMA system Power control Waveforms Multi-user Receiver Metaheuristics control overhead Mode 3 P-NOMA distributed mode non-orthogonal multiple access Location-based Power allocation FS-NOMA partial overlap QR Factorization LTE-TDD Resource sharing —Device-to-device (D2D) resource selection
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