Abstract
In this study, we analyze and compare the performances of the two-dimensional (2D) linear minimum mean square error (MMSE) and zero-forcing (ZF) equalization methods and the 2D nonlinear adaptive Volterra and adaptive decision feedback equalization methods for data pages recorded and retrieved in a holographic data storage system, as well as for simulated data. The results show that the MMSE equalizer works well even at a low signal-to-noise ratio (SNR). We also investigate the practical and simplified implementations of the 2D MMSE equalizer and show that these implementations do not degrade the performance of the equalizer significantly.
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