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  

Publication
IEICE TRANSACTIONS on Electronics   Vol.E90-C   No.8   pp.1612-1618
Publication Date: 2007/08/01
Online ISSN: 1745-1353
DOI: 10.1093/ietele/e90-c.8.1612
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Section on Recent Progress of High-Density Information Storage)
Category: 
Keyword: 
holographic data storage,  neural network,  interpixel interference,  BER performance,  

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Summary: 
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.