OFDM
Relay
Cognitive Radio
Multiple Antennas
Resource Allocation
Full Duplex
Spectrum Sensing
Synchronization
Spectrum Sharing
Channel Estimation
Interference Cancellation
Stochastic Geometry
Energy Harvesting
Feedback
Bi-directional
Heterogeneous Networks
Equalization
HetNet
relay networks
FBMC
Ultra Low Power
SC-FDMA
TVWS
Duplex
Reliability
CDMA
MIMO
interference
channel capacity
in-band full-duplex system
interference suppression
5G
C-V2V
reinforcement learning
RSRP weighting
non-orthogonal multiple access (NOMA)
health care
5G mobile communication
indoor positioning
Vehicle-to-vehicle communication
estimated position overlapping
Resource sharing
Power allocation
multi-access edge computing
control overhead
hybrid
Rat-dependent positioning
NR positioning
smart factory
UFMC
Handoff
Femtocell
QAM
CoMP
power uncertainty
- Computation offloading
amplify and forward communication
Zigbee
body area networks
resource block management
frame structure
WVAN
inter user interference
GFDM
mode selection
antenna arrays
partial overlap
LTE-based V2V
resource selection
maximum likelihood method
Communication range
Number of training blocks
Vehicular communication
Uplink SCMA system
Dynamic TDD
QR Factorization
Metaheuristics
FS-NOMA
cross-link interference
user fairness
Multi-user Receiver
Mode 3
V2X
P-NOMA
dynamic HetNet
spectrum partitioning
DQN
D-TDD
CLI
massive connectivity
and 5G networks.
OTDOA
estimated position updating
distributed mode
non-orthogonal multiple access
Spatial capacity
LTE-TDD
—Device-to-device (D2D)
Location-based
overloading
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Sooyong Choi and Daesik Hong, "'Performance of RBF equalizer in data storage channels", IEEE IJCNN, Jul. 1999
[IEEE IJCNN]
조회 63882
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.1999.831105URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=831105&isnumber=17955
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