OFDM
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Cognitive Radio
Multiple Antennas
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Interference Cancellation
Channel Estimation
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Stochastic Geometry
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interference
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antenna arrays
NR positioning
health care
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power uncertainty
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inter user interference
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frame structure
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non-orthogonal multiple access
QR Factorization
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Number of training blocks
Communication range
user fairness
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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)
D-TDD
dynamic HetNet
indoor positioning
spectrum partitioning
- Computation offloading
multi-access edge computing
P-NOMA
partial overlap
Subband filtering
Multi-user Receiver
reinforcement learning
RSRP weighting
smart factory
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Sooyong Choi and Daesik Hong, "Equalization Using the Bilinear Recursive Polynomial Perceptron with Decision Feedback", IEEE IJCNN, July 2000
[IEEE IJCNN]
조회 59695
Status : | Presented |
---|---|
Date : | 2000-07 |
Title : | Equalization Using the Bilinear Recursive Polynomial Perceptron with Decision Feedback |
Authors : | Sooyong Choi and Daesik Hong |
Conference : | IEEE International Joint Conference on Neural Networks |
Abstract : | In order to improve the performance and simplify the structure of the equalizer using bilinear recursive polynomial perceptron (BRPE), a new equalizer, which is a equalizer using bilinear recursive polynomial perceptron with decision feedback (BRPDFE), is proposed. The proposed BRPDFE is compared with the BRPE in terms of mean square error (MSE). And the performance is compared with the conventional decision feedback equalizer (DFE), the multilayer perceptron decision feedback equalizer (MLPDFE) and the BRPE in terms of bit-error rate (BER) in two data transmission systems. One is a digial communication system in which the dominant distortion factor is intersymbol interference (ISI). And the other is a digital storage system in which the primary interference element is nonlinear distortion. The results from analysis and simulation show that the proposed BRPDFE is superior to the other equlizers. Moveover, the BRPDFE has the simpler structure than the other equalizers. |
URL : | http://ieeexplore.ieee.org/xpl/articleDe...ber=861497 |
Sooyong Choi; Daesik Hong; , "Equalization using the bilinear recursive polynomial perceptron with decision feedback," Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on , vol.5, no., pp.366-371 vol.5, 2000
doi: 10.1109/IJCNN.2000.861497
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=861497&isnumber=18674
doi: 10.1109/IJCNN.2000.861497
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=861497&isnumber=18674
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