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A Quadratic Sigmoid Neural Equalizer for Nonlinear Digital Magnetic Recording Channels
被引:3
|作者:
Choi, Sooyong
[1
]
Ong, Sunghwan
[1
]
You, Cheolwoo
[1
]
Hong, Daesik
[1
]
机构:
[1] Yonsei Univ, Dept Elect Engn, Informat & Telecommunicat Lab, Seoul, South Korea
关键词:
Neural equalizer;
nonlinear magnetic channels;
quadratic sigmoid function;
D O I:
10.1109/4234.718497
中图分类号:
TN [电子技术、通信技术];
学科分类号:
0809 ;
摘要:
A new neural equalizer is proposed in order to compensate for intersymbol interference and to mitigate nonlinear distortions in digital magnetic recording systems. The proposed equalizer uses the quadratic sigmoid function as the activation function. The performance of the proposed equalizer is compared to those of a decision-feedback equalizer (DFE) and a neural decision feedback equalizer (NDFE) in terms of bit-error rate in nonlinear digital magnetic recording channels. Simulation results demonstrate that the proposed equalizer outperforms both DFE and NDFE.
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页码:263 / 265
页数:3
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