A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels

@article{Choi1998AQS,
  title={A quadratic sigmoid neural equalizer for nonlinear digital magnetic recording channels},
  author={Sooyong Choi and Sunghwan Ong and Cheolwoo You and Daesik Hong},
  journal={IEEE Communications Letters},
  year={1998},
  volume={2},
  pages={263-265}
}
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… CONTINUE READING

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