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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Cheolwoo You and Daesik Hong, "Stop-and-Go Decision-Directed Blind Adaptive Equalization Using the Complex-Valued MultiLayer Perceptron", IEEE ICASSP, April 1997
[IEEE ICASSP]
조회 62150
Status : | Presented |
---|---|
Date : | 1997-04 |
Title : | Stop-and-Go Decision-Directed Blind Adaptive Equalization Using the Complex-Valued MultiLayer Perceptron |
Authors : | Cheolwoo You and Daesik Hong |
Conference : | IEEE International Conference on Acoustics, Speech, and Signal Processing |
Abstract : | In this paper, a "stop-and-go" decision-directed blind equalization scheme is newly proposed. This scheme uses the structure of complex-valued multilayer feedforward neural networks, instead of the linear transversal filters that are usually used in convention function composed of two real functions is used. Each real activation function has multi-saturated output region in order to deal with QAM signals of any constellation sizes. Also, the complex backpropagation algorithm is modified for the proposed scheme. Computer simulations are performed to compare the proposed scheme with the conventional "stop-and-go" algorithm in terms of convergence speed. MSE value in the steady state and constellation of QAM signals after the initial convergence. Simulation results demonstrate th effectiveness of the proposed scheme. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...ber=595496 |
Download : | http://mirinae.yonsei.ac.kr/?module=file...e6a3a42012 |
Cheolwoo You; Daesik Hong; , "“stop-and-go” decision-directed blind adaptive equalization using the complex-valued multilayer perceptron," Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on , vol.4, no., pp.3289-3292 vol.4, 21-24 Apr 1997
doi: 10.1109/ICASSP.1997.595496
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=595496&isnumber=13015
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