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Paper Abstract and Keywords
Presentation 2018-02-16 13:15
Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK)
Abstract (in Japanese) (See Japanese page) 
(in English) Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of two-dimensional data array are image data and can be demodulated accurately by using convolutional neural networks (CNNs) for each modulation block. In this paper, we consider CNNs which are more effective for suppression of inter-symbol interference to improve the demodulation error rate. We designed and evaluated CNNs into which not only the images of modulation blocks but also the adjacent pixels are input.
Keyword (in Japanese) (See Japanese page) 
(in English) Holographic data storage / Convolutional neural network / Inter-symbol interference / / / / /  
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Conference Information
Committee ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT  
Conference Date 2018-02-15 - 2018-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-MMS 
Conference Code 2018-02-ITS-IE-MMS-HI-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage 
Sub Title (in English)  
Keyword(1) Holographic data storage  
Keyword(2) Convolutional neural network  
Keyword(3) Inter-symbol interference  
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1st Author's Name Yutaro Katano  
1st Author's Affiliation Japan Broadcasting Corporation (NHK)
2nd Author's Name Tetsuhiko Muroi  
2nd Author's Affiliation Japan Broadcasting Corporation (NHK)
3rd Author's Name Kinoshita Nobuhiro  
3rd Author's Affiliation Japan Broadcasting Corporation (NHK)
4th Author's Name Norihiko Ishii  
4th Author's Affiliation Japan Broadcasting Corporation (NHK)
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Speaker Author-1 
Date Time 2018-02-16 13:15:00 
Presentation Time 15 minutes 
Registration for ITE-MMS 
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Volume (vol) vol.117 
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