請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42551完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇炫榮 | |
| dc.contributor.author | Kai-Sheng Chen | en |
| dc.contributor.author | 陳凱昇 | zh_TW |
| dc.date.accessioned | 2021-06-15T01:16:04Z | - |
| dc.date.available | 2010-08-03 | |
| dc.date.copyright | 2009-08-03 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-07-28 | |
| dc.identifier.citation | [1] C.-H. Hsu and A. Anastasopoulos, Asymptotic weight distributions of irregular
repeat-accumulate codes,' in Global Telecommunications Conference, St. Louis, MO, Nov. 2005, pp. 1147 { 1151. [2] T. Cover and J. Thomas, Elements of Information Theory. New York: Wiley, 1991. [3] M. W. Marcellin and T. R. Fischer, Trellis coded quantization of memoryless and Gauss-Markov sources,' IEEE Trans. Commun., vol. 38, no. 1, pp. 82{93, Jan. 1990. [4] G. Ungerboeck, Channel coding with multilevel/phase signals,' IEEE Trans. Inform. Theory, vol. 28, no. 6, pp. 55{67, Jan. 1982. [5] M. Wainwright and E. Martinian, Low-density graph codes that are optimal for binning and coding with side information,' IEEE Trans. Inform. Theory, vol. 55, no. 3, pp. 1061{1079, March 2009. [6] A. Braunstein, F. Kayhan, and R. Zecchina, E±cient ldpc codes over gf(q) for lossy data compression,' in available online in http://arxiv.org/abs/0901.4467. [7] A. D. Wyner and J. Ziv, The rate-distortion function for source coding with side information at the decoder,' IEEE Trans. Inform. Theory, vol. 22, no. 1, pp. 1{10, Jan. 1976. [8] A. D. Wyner, The rate-distortion function for source coding with side infor- mation at the decoder-II: General sources,' Inf. Contr., vol. 38, pp. 60{80, Jan. 1978. [9] D. Slepian and J. K. Wolf, Noiseless coding of correlated information sources,' IEEE Trans. Inform. Theory, vol. 19, no. 4, pp. 471{480, July 1973. [10] Z. Xiong, A. D. Liveris, and S. Cheng, Distributed source coding for sensor networks,' IEEE Signal Processing Mag., vol. 21, no. 5, pp. 80{94, 2004. [11] S. S. Pradhan and K. Ramchandran, Distributed source coding using syn- dromes (DISCUS): Design and construction,' IEEE Trans. Inform. Theory, vol. 49, no. 3, pp. 626{643, Mar. 2003. [12] S.C.Draper and G.Wornell, Side information aware coding strategies for sensor networks,' vol. 22, no. 6, pp. 966{976, 2004. [13] G. Kramer, M. Gastpar, and P. Gupta, Cooperative strategies and capacity theorems for relay networks,' IEEE Trans. Inform. Theory, vol. 51, no. 9, pp. 3037{3063, Sep. 2005. [14] A. D. Wyner, The rate-distortion function for source coding with side infor- mation at the decoder-II: General sources,' Inf. Contr., vol. 38, pp. 60{80, Jan. 1978. [15] R. Zamir, S. Shamai, and U. Erez, Nested linear/lattice codes for structured multiterminal binning,' IEEE Trans. Inform. Theory, vol. 48, no. 6, pp. 1250{ 1276, June 2002. [16] S. Lin, S. Lin, K. Chen, and H. Su, Coding for noisy quadratic-Gaussian Wyner-Ziv problem : A successive encoding approach,' in Information Theory Workshop on Networking and Information Theory, Volos, Greece, june 2009. [17] S.-C. Lin and H.-J. Su, Vector Wyner-Ziv coding for vector Gaussian CEO problem,' in Information Sciences and Systems, 2007 41st Annual Conference on., Mar. 2007, pp. 333{338. [18] S. C. Lin and H. J. Su, Practical vector dirty paper coding for mimo gaussian broadcast channels,' IEEE J. Select. Areas Commun., vol. 25, no. 7, pp. 1345{ 1357, Sept. 2007. [19] F. Kschischang, B. Frey, and H.-A. Loeliger, Factor graphs and the sum- product algorithm,' IEEE Trans. Inform. Theory, vol. 47, no. 2, p. 498V519, Feb. 2001. [20] H. l. Van Trees, Detection, estimation, and modulation theory. J: Wiley, 2001. [21] E. Martinian and J. Yedidia, Iterative quantization using codes on graphs,' in Allerton Conf. Control, Comput. Commun., Oct. 2003. [22] M. Mezard and R. Zecchina, Random k-satis‾ability: from an analytic solution to an e±cient algorithm,,' Phys. Rev. E, vol. 66, no. 1, pp. 2001{3007, Mar. 2002. [23] M.J.Wainwright and E.Maneva, Lossy source coding by message-passing and decimation over generalized codewords of ldgm codes,' in Int. Symp. Inform. Theory, Adelaide, Australia, Sep. 2005. [24] T. Filler and J. Fridrich, Binary quantization using belief propagation with decimation over factor graphs of ldgm codes,' in Allerton Conf. Control, Com- put. Commun., Sep. 2007. [25] Q. C. Wang and C. He, Approaching 1.53-db shaping gain with ldgm quanti- zation codes,' Jan. 2008. [26] D.Divsalar, H. Jin, and R. McEliece, Coding theorems for 'turbo-like' codes,' in Proc. 36th Allerton Conf. Communications, Control, and Computing, Ur- bana, IL, Sept. 1998, pp. 23 { 25. [27] H. Jin, A. Khandekar, and R. McEliece, Irregular repeat-accumulate codes,' in Proc. 2nd Int. Symp. Turbo Codes Related Topics, Brest,France, Sept. 2000, pp. 1 { 8. [28] S.T.Brink, Code doping for triggering iterative decoding convergence,' in Int. Symp. Inform. Theory, Washington, DC, June. 2001. [29] R. Zamir and M. Feder, On lattice quantization noise,' IEEE Trans. Inform. Theory, vol. 42, no. 4, pp. 1152{1159, July. 1996. [30] Y.Yang, S.Cheng, Z.Xiong., and W.Zhao, Wyner-Ziv Coding Based on TCQ and LDPC Cpdes,' IEEE Trans. Commun., vol. 57, no. 2, june 2009. [31] S. ten Brink and G. Kramer, Design of repeat-accumulate codes for iterative detection and decoding,' IEEE Trans. Signal Processing, vol. 51, no. 11, pp. 2764 { 2772, Nov. 2003. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42551 | - |
| dc.description.abstract | 在此本論文中,我們考慮一個同時是好的通道編碼與訊號源編碼的編碼架構,我們將其命名為SCS 問題。除了在理論上的價值之外,SCS 的主要應用是在於實做Wyner-Ziv 編碼以及髒紙編碼(Dirty Paper coding)。目前被廣泛使用於SCS 問題的編碼為網格編碼調製/量化(Trellis coded modulation/quantization)。但使用網格編碼調製/量化在當與訊息傳遞演算法(Message passing)並用時會有太高的複雜度。在此論文,對於SCS 問題我們提出兩個低密度架構針對在Wyner-Ziv 編碼及髒紙編碼的應用上。根據模擬結果,我們提出的方法比現有最佳的編碼為網格編碼調製/量化有更好的效能,另外在複雜度方面也有顯著下降。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2021-06-15T01:16:04Z (GMT). No. of bitstreams: 1 ntu-98-R96942056-1.pdf: 632492 bytes, checksum: 10907a14c1e9804241961b6ff0909e46 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 1 Introduction 1
1.1 Simultaneously good channel and source coding (SCS) problem and contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Coding with side information . . . . . . . . . . . . . . . . . . . . . . 2 1.3 Overview of Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.4 Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Sparse Graph Codes in Channel Coding and Lossy Source coding 4 2.1 Sparse Graph Codes in Channel Coding . . . . . . . . . . . . . . . . 4 2.1.1 Message-passing algorithm . . . . . . . . . . . . . . . . . . . . 5 2.2 Sparse Graph Codes in Source Coding . . . . . . . . . . . . . . . . . 8 2.2.1 Message passing algorithm with decimation . . . . . . . . . . 9 3 Sparse Graph Coding Structure for SCS problem 12 3.1 Irregular Repeat Accumulate codes (IRA) . . . . . . . . . . . . . . . 12 3.2 IRA and Low Density Generator Matrix codes(LDGM) . . . . . . . . 13 3.3 The IRA code with Doping . . . . . . . . . . . . . . . . . . . . . . . 14 4 Low Complexity Encoding Algorithm for the SCS Problem 17 4.1 The error propagation problem of decimation . . . . . . . . . . . . . 17 4.2 The Low Complexity Encoding Algorithm . . . . . . . . . . . . . . . 18 5 Simulation Environment and Results 21 6 Conclusions 26 | |
| dc.language.iso | en | |
| dc.subject | 產生器矩陣碼 | zh_TW |
| dc.subject | 低密度 | zh_TW |
| dc.subject | Wyner-Ziv 編碼 | zh_TW |
| dc.subject | 疊加編碼 | zh_TW |
| dc.subject | 雜 | zh_TW |
| dc.subject | 規則重複累 | zh_TW |
| dc.subject | 加碼 | zh_TW |
| dc.subject | superposition coding | en |
| dc.subject | Irregular Repeat Accumulate codes(IRA) | en |
| dc.subject | Low Density Generator Matrix codes(LDGM) | en |
| dc.subject | Wyner-Ziv coding | en |
| dc.subject | doping | en |
| dc.title | 同時為好的通道編碼與訊號源編碼的低密度編碼及其應用 | zh_TW |
| dc.title | Low density constructions for simultaneously good for channel and source coding problem (SCS) with applications | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 易志孝,葉丙成,林士駿 | |
| dc.subject.keyword | Wyner-Ziv 編碼,低密度,產生器矩陣碼,不,規則重複累,加碼,參,雜,疊加編碼, | zh_TW |
| dc.subject.keyword | Wyner-Ziv coding,Low Density Generator Matrix codes(LDGM),Irregular Repeat Accumulate codes(IRA),doping,superposition coding, | en |
| dc.relation.page | 30 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-07-28 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位: | 電信工程學研究所 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-98-1.pdf 未授權公開取用 | 617.67 kB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
