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Performance of a signal-dependent autoregressive channel model

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2 Author(s)
Stander, J. ; Quantum Corp., Shrewsbury, MA, USA ; Patapoutian, Ara

Recently, work has been published on a channel model that employs signal-dependent autoregressive filters to accurately and efficiently model signal nonlinearities and media noise characteristics, such as signal-dependence and correlation, which are common in magnetic recording signals. This paper evaluates the model's performance using 42 sets of spin-stand data that cover a large range of head/media manufacturers and operating points

Published in:

Magnetics, IEEE Transactions on  (Volume:36 ,  Issue: 5 )

Date of Publication:

Sep 2000

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