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An Application of Neural Network Equalization to Polytopic Multiplexing Holography and Reduction of Interpixel Interference
Hisashi OSAWA Naoki KAWAUE Yoshihiro OKAMOTO Yasuaki NAKAMURA Hirotaka OCHI Shoji MARUKAWA
IEICE TRANSACTIONS on Electronics
Publication Date: 2007/08/01
Online ISSN: 1745-1353
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Section on Recent Progress of High-Density Information Storage)
holographic data storage, neural network, interpixel interference, BER performance,
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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 1.0 dB over conventional equalization.