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- W2910879274 abstract "We evaluated a deep learning-based data demodulation method for multi-level recording data in holographic data storage. This method demodulates reproduced data as pattern recognition using a convolutional neural network. The network learns the rule of demodulation in consideration of optical noise that deteriorates the quality of reproduced data. Unlike with a conventional hard decision method, the learnt network demodulated the noise-added data accurately and decreased demodulation errors." @default.
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- W2910879274 date "2018-12-01" @default.
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- W2910879274 title "Demodulation of Multi-Level Data using Convolutional Neural Network in Holographic Data Storage" @default.
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- W2910879274 doi "https://doi.org/10.1109/dicta.2018.8615863" @default.
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