Abstract
A neural network equalization for nonlinear distortion in magnetoresistive(MR) head is studied. First, a model of the recording/reproducing channel with MR head and neural network equalizer is described. Then, the bit-error rate(BER) for PR4ML system is obtained by computer simulation and the performance is compared with that of the conventional transversal filter equalization. It is shown that at a BER of 10-4, the neural network equalization yields about 4.2dB gain over the transversal filter equalization.
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