 |
|
|
|
以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數：53 、訪客IP：3.16.69.111
姓名 劉宜鈞(Yi-Chun Liu) 查詢紙本館藏 畢業系所 通訊工程學系 論文名稱 全像光資訊儲存系統的編解碼
(Coding for Holographic Data Storage System)相關論文 檔案 [Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
至系統瀏覽論文 ( 永不開放)
摘要(中) 在本論文中，我們設計出一套應用於全像光資訊儲存系統的編解碼。我們建立了不同點亮個數與刪除易錯圖形的稀疏碼編碼表，資料位元能經由此編碼表選擇光亮暗樣式。對於每個四乘四畫素，我們讓原本九位元的資料量提升到最高十三位元，並降低擴散造成的影響。本論文可分為兩部分，第一部分只考慮擴散的影響，此時使用稀疏碼，而解碼有事先不知道或事先知道擴散影響的兩種方式。第二部分考慮擴散和雜訊的影響，我們使用稀疏碼和低密度奇偶檢查碼，而解碼有事先不知道或事先知道擴散影響的硬決策或軟決策六種方式，其中事先知道擴散影響的軟決策在所有方法中，具有最低的位元錯誤率。 摘要(英) In this paper, we design a coding scheme for holographic data storage system. We establish sparse code tables with varying numbers of illuminated pixels and deletion of error-prone patterns, enabling data bits to be selected for light and dark patterns using these tables. For each four-by-four pixel block, we increase the original data bits from nine bits to a maximum of thirteen bits, while reducing the impact of blur. This paper can be divided into two parts: the first part considers only the impact of blur, using sparse code, with decoding methods that either do or do not have prior knowledge of the blur impact. The second part considers both blur and noise, using sparse code and low-density parity check code, with six decoding methods: hard and soft decisions, each with or without prior knowledge of the blur impact. Among these, the soft decision method with prior knowledge of the blur impact has the lowest bit error rate. 關鍵字(中) ★ 全像光資訊儲存系統
★ 低密度奇偶檢查碼
★ 稀疏碼關鍵字(英) ★ Holographic Data Storage System
★ LDPC code
★ Sparse code論文目次 摘要 IV
Abstract V
誌謝 VI
目錄 VII
圖目錄 VIII
表目錄 XI
第一章 緒論 1
第二章 相關背景介紹 3
2.1全像光資訊儲存系統的歷史及現況 3
2.2 全像光資訊儲存系統模型及編解碼 5
2.2.1 全像光資訊儲存系統模型 5
2.2.2 編碼和解碼流程 7
2.3 原始稀疏碼 9
第三章 用於擴散影響和雜訊之編解碼 10
3.1稀疏碼 10
3.1.1論文[6]提出的編碼設計 10
3.1.2編碼 15
3.1.3解碼 18
3.2低密度奇偶檢查碼(Low-Density Parity Check Code) 20
3.2.1特性及基本概念 20
3.2.2查核矩陣建構方式 22
3.2.3編碼 24
3.2.4解碼 27
3.2.5 雜訊模型 32
3.3 模擬結果 35
3.3.1 稀疏碼 35
3.3.2 低密度奇偶檢查碼 40
第四章 結合稀疏碼及低密度奇偶檢查碼 43
4.1解碼 43
4.2模擬結果 45
5 第五章 結論 53
參考文獻 54參考文獻 [1] Kevin Curtis, Lisa Dhar, William Wilson, Adrian Hill, Mark Ayres, “Holographic Data Storage: From Theory to Practical Systems”, 2009.
[2] Yeh-Wei Yu, Yuan-Cheng Chen, Kun-Hao Huang, Chih-Yuan Cheng, Tsung-Hsun Yang, Shiuan-Huei Lin, and Ching-Cherng Sun, “Reduction of phase error on phase-only volume-holographic disc rotation with pre-processing by phase integral”, Optics Express, Vol. 28, No. 19, Jul, 2020.
[3] Sarah J. Johnson, “Introducing Low-Density Parity-Check Codes”, School of Electrical Engineering and Computer Science, The University of Newcastle Australia, May, 2010.
[4] K. Deergha Rao, “Channel Coding Techniques for Wireless Communications Second Edition”, Springer, 2015.
[5] 陳震瑜, “高速成像通訊系統可行性之研究” ,國立中央大學光電科學工程學系, 碩士論文, 九月, 2021.
[6] 徐睿謙,“用於高速成像通訊系統之不同速率編碼”,國立中央大學通訊工程研究所, 碩士論文, 六月, 2022.
[7] Qin Yu, Fei Wu, Meng Zhang, Yahui Zhao, Chang Sheng Xie, “Improving reliability using phase distribution aware LDPC code for holographic data storage”, Applied Optics, Vol. 61, No. 21, July, 2022.
[8] Ya Hui Zhao, Fei Wu, Xiao Lin, Jian Zhou, Meng Zhang Qin Yu, Xiaodi Tan, Chang Sheng Xie, “Improving the data reliability of phase modulated holographic storage using a reliable bit aware low-density parity-check code”, Optics Express, Vol. 30, No. 21, October, 2022.
[9] Pilsang Yoon, Biwoong Chun, Haksun Kim, Jooyoun Park, Gwitae Park “Low-Density Parity-Check Code for Holographic Data Storage System with Balanced Modulation Code”, J. Appl. Phys, Vol. 47, No. 7, 2008.
[10] Hideki Hayashi, Kazuhiko Kimura, “Low-Density Parity-Check Coding for Holographic Data Storage”, J. Appl. Phys, Vol. 44, No. 5B, 2005.
[11] Jinyoung Kim, Jaejin Lee, “Two-Dimensional SOVA and LDPC Codes for Holographic Data Storage System”, IEEE TRANSACTIONS ON MAGNETICS, VOL. 45, NO. 5, May, 2009.指導教授 魏瑞益(Ruey-Yi Wei) 審核日期 2024-7-24 推文 plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
網路書籤 Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit