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Nonuniform Data-Dependent Noise Prediction in Magnetic Recording

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2 Author(s)
Zhenyu Sun ; Seagate Technol. Int., Singapore ; Ngwe, M.

In this paper, we report a method for nonuniform data-dependent noise prediction (DDNP), in which the noise predictive filters do not have an identical order (number of taps). To accommodate this new architecture, we implemented a partial decision feedback strategy for branch metric computations of the higher order predictive filters. Theoretical analysis and computer simulations show that our proposed DDNP can achieve a better tradeoff between detection performance and computational complexity compared with the previously reported DDNP

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Magnetics, IEEE Transactions on  (Volume:43 ,  Issue: 3 )