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- W1979520705 abstract "We develop a communication theoretic framework for modeling 2-D magnetic recording channels. Using the model, we define the signal-to-noise ratio (SNR) for the channel considering several physical parameters, such as the channel bit density, code rate, bit aspect ratio, and noise parameters. We analyze the problem of optimizing the bit aspect ratio for maximizing SNR. The read channel architecture comprises a novel 2-D joint self-iterating equalizer and detection system with noise prediction capability. We evaluate the system performance based on our channel model through simulations. The coded performance with the 2-D equalizer detector indicates ~ 5.5 dB of SNR gain over uncoded data." @default.
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- W1979520705 date "2014-03-01" @default.
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- W1979520705 title "A Communication-Theoretic Framework for 2-DMR Channel Modeling: Performance Evaluation of Coding and Signal Processing Methods" @default.
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- W1979520705 doi "https://doi.org/10.1109/tmag.2013.2290007" @default.
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