An Application of Neural Network Equalization to Polytopic Multiplexing Holography and Reduction of Interpixel Interference(<Special Section>Recent Progress of High-Density Information Storage)

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概要

• 論文の詳細を見る

• The neural network equalization for polytopic multiplexing holography is studied to reduce interpixel interference. The bit error rate performance of the bilinear or bicubic interpolator followed by a neural network as an equalizer is obtained by computer simulation. The results show that the neural network equalizer provides an SNR improvement of about 1.0dB over conventional equalization.

• 社団法人電子情報通信学会の論文
• 2007-08-01

著者

• Osawa H

  Graduate School Of Science And Engineering Ehime University

• Osawa H

  Ehime Univ. Matsuyama Jpn

• Osawa Hisashi

  Graduate School Of Science And Engineering Ehime University

• Okamoto Yasuhiro

  Advanced Hf Device R & D Center R & D Association For Future Electron Devices:nec System Dev

• OKAMOTO Yoshihiro

  Graduate School of Advanced Sciences and Matter, Hiroshima University

• NAKAMURA Yasuaki

  Graduate School of Science and Engineering, Ehime University

• Okamoto Y

  Graduate School Of Science And Engineering Ehime University

• Okamoto Y

  Department Of Clinical Pharmacy Faculty Of Pharmacy Meijo University

• Nakamura Yoshihisa

  Graduate School Of Science And Engineering Ehime University

• KAWAUE Naoki

  Graduate School of Science and Engineering, Ehime University

• OCHI Hirotaka

  Panasonic Shikoku Electronics Co., Ltd.

• MARUKAWA Shoji

  Panasonic Shikoku Electronics Co., Ltd.

• Kawaue Naoki

  Graduate School Of Science And Engineering Ehime University

• Ochi Hirotaka

  Panasonic Shikoku Electronics Co. Ltd.

• Okamoto Yoshihiro

  Graduate School Of Science And Engineering Ehime University

• Marukawa Shoji

  Panasonic Shikoku Electronics Co. Ltd.

• Okamoto Yoshihiro

  Graduate School Of Advanced Sciences And Matter Hiroshima University

• Nakamura Yasuaki

  Graduate School Of Science And Engineering Ehime University

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