Abstract
A neural network equalization of nonlinear channel with partial erasure is studied. First, a model of the recording/reproducing channel with partial erasure and a neural network equalizer are described. Then, the bit-error rate for PR4ML system is obtained by computer simulation and the performance is compared with that of the convention al Nyquist equalization. The results show that the error rate peformance of neural network equalization is better than that of Nyquist equalization.
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