Abstract
An application of the neural network equalization to the partial response maximum-likelihood(PRML) channel with nonlinear distortion in magnetoresistive(MR) head and partial erasure is studied. First, a model of the recording/reproducing channel with the nonlinear distortion in MR head and partial erasure and the neural network equalizer are described. Then, the bit error rate(BER) performance for PRML channel is obtained by computer simulation and is compared with that of the conventional transversal equalizer. The results show that the BER performance of the neural network equalizer is better than that of the conventional transversal equalizer.
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