IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system

Jang Hyun Kim; Hyunseok Yang; Jin Bae Park

doi:10.1109/ODS.2009.5031752

IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system

Jang Hyun Kim, Hyunseok Yang, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Study of holographic data storage system is a very important division of optical data storage system. We propose overall holographic data storage system in order to reduce IPI noise and increase storage in limited capacity. Our system is realized and obtain good performance as torecording and retrieving in holographic data storage system.

Original language	English
Title of host publication	2009 Optical Data Storage Topical Meeting, ODS 2009
Pages	55-57
Number of pages	3
DOIs	https://doi.org/10.1109/ODS.2009.5031752
Publication status	Published - 2009
Event	2009 Optical Data Storage Topical Meeting, ODS 2009 - Lake Buena Vista, FL, United States Duration: 2009 May 10 → 2009 May 13

Publication series

Name	2009 Optical Data Storage Topical Meeting, ODS 2009

Other

Other	2009 Optical Data Storage Topical Meeting, ODS 2009
Country/Territory	United States
City	Lake Buena Vista, FL
Period	09/5/10 → 09/5/13

All Science Journal Classification (ASJC) codes

Hardware and Architecture

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10.1109/ODS.2009.5031752

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@inproceedings{1ca3177fff4a41428c2696fe6e13739c,

title = "IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system",

abstract = "Study of holographic data storage system is a very important division of optical data storage system. We propose overall holographic data storage system in order to reduce IPI noise and increase storage in limited capacity. Our system is realized and obtain good performance as torecording and retrieving in holographic data storage system.",

author = "Kim, {Jang Hyun} and Hyunseok Yang and Park, {Jin Bae}",

year = "2009",

doi = "10.1109/ODS.2009.5031752",

language = "English",

isbn = "9781424433438",

series = "2009 Optical Data Storage Topical Meeting, ODS 2009",

pages = "55--57",

booktitle = "2009 Optical Data Storage Topical Meeting, ODS 2009",

note = "2009 Optical Data Storage Topical Meeting, ODS 2009 ; Conference date: 10-05-2009 Through 13-05-2009",

}

Kim, JH, Yang, H & Park, JB 2009, IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system. in 2009 Optical Data Storage Topical Meeting, ODS 2009., 5031752, 2009 Optical Data Storage Topical Meeting, ODS 2009, pp. 55-57, 2009 Optical Data Storage Topical Meeting, ODS 2009, Lake Buena Vista, FL, United States, 09/5/10. https://doi.org/10.1109/ODS.2009.5031752

IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system. / Kim, Jang Hyun; Yang, Hyunseok ; Park, Jin Bae.
2009 Optical Data Storage Topical Meeting, ODS 2009. 2009. p. 55-57 5031752 (2009 Optical Data Storage Topical Meeting, ODS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system

AU - Kim, Jang Hyun

AU - Yang, Hyunseok

AU - Park, Jin Bae

PY - 2009

Y1 - 2009

N2 - Study of holographic data storage system is a very important division of optical data storage system. We propose overall holographic data storage system in order to reduce IPI noise and increase storage in limited capacity. Our system is realized and obtain good performance as torecording and retrieving in holographic data storage system.

AB - Study of holographic data storage system is a very important division of optical data storage system. We propose overall holographic data storage system in order to reduce IPI noise and increase storage in limited capacity. Our system is realized and obtain good performance as torecording and retrieving in holographic data storage system.

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U2 - 10.1109/ODS.2009.5031752

DO - 10.1109/ODS.2009.5031752

M3 - Conference contribution

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SN - 9781424433438

T3 - 2009 Optical Data Storage Topical Meeting, ODS 2009

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BT - 2009 Optical Data Storage Topical Meeting, ODS 2009

T2 - 2009 Optical Data Storage Topical Meeting, ODS 2009

Y2 - 10 May 2009 through 13 May 2009

ER -

IPI noise reduction by fuzzy rules and data compression using wavelet transform method in a holographic data storage system

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