Neuro-Interpolator for Holographic Data Storage

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概要

• 論文の詳細を見る

• The neuro-interpolator (NI) integrating the interpolator with neural network equalizer is proposed to reduce the influence of interpixel interference in holographic data storage. The simplification of NI is performed by using a hybrid genetic algorithm based on a new mutation method. The bit error rate performance of the simplified NI is superior to that of the interpolator alone. Furthermore, the number of connections in the simplified NI is reduced to about half of that obtained by using a conventional mutation method.

• Published by the Japan Society of Applied Physics through the Institute of Pure and Applied Physicsの論文
• 2010-08-25

著者

• Okamoto Yoshihiro

  Graduate School Of Advanced Sciences And Matter Hiroshima University

• Nakamura Yasuaki

  Graduate School Of Science And Engineering Ehime University

• OSAWA Hisashi

  Institution for Collaborative Relations, Ehime University

• Yamashita Masato

  Graduate School of Science and Engineering, Ehime University, 3 Bunkyocho, Matsuyama 790-8577, Japan

• YAMASHITA Masato

  Graduate School of Science and Engineering, Ehime University

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