ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2019-02-20 13:30
Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK)
Abstract (in Japanese) (See Japanese page) 
(in English) Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer rate, and longevity. We can improve the data capacity and the throughput by multi-level modulation code instead of the conventional binary code. However, the higher noise tolerance is required to capture the gray scale level accurately. In this work, we considered the demodulation method of multi-level data in HDS. Compared with the conventional hard decision method, convolutional neural network (CNN) which learned the noise characteristics could demodulate the reproduced data accurately and the bit error rate decreased to about 1/10.
Keyword (in Japanese) (See Japanese page) 
(in English) Holographic data storage / Multi-level modulation / Convolutional neural network / / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 5, MMS2019-20, pp. 205-208, Feb. 2019.
Paper # MMS2019-20 
Date of Issue 2019-02-12 (MMS, HI, ME, AIT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
Download PDF

Conference Information
Committee ME IEICE-IE IEICE-ITS MMS HI AIT  
Conference Date 2019-02-19 - 2019-02-20 
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 MMS 
Conference Code 2019-02-ME-IE-ITS-MMS-HI-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage 
Sub Title (in English)  
Keyword(1) Holographic data storage  
Keyword(2) Multi-level modulation  
Keyword(3) Convolutional neural network  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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 Nobuhiro Kinoshita  
3rd Author's Affiliation Japan Broadcasting Corporation (NHK)
4th Author's Name Norihiko Ishii  
4th Author's Affiliation Japan Broadcasting Corporation (NHK)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker
Date Time 2019-02-20 13:30:00 
Presentation Time 15 
Registration for MMS 
Paper # MMS2019-20, HI2019-20, ME2019-42, AIT2019-20 
Volume (vol) 43 
Number (no) no.5 
Page pp.205-208 
#Pages
Date of Issue 2019-02-12 (MMS, HI, ME, AIT) 


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan