Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/9384
Title: | Robust Slepian-Wolf coding Using Low-Density Graph Codes |
Authors: | Huang, Min |
Advisor: | Wong, Kon Max |
Department: | Electrical and Computer Engineering |
Keywords: | Electrical and Computer Engineering;Electrical and Computer Engineering |
Publication Date: | 2010 |
Abstract: | <p>In this thesis, Robust Slepian-Wolf coding problem is discussed. Two correlated source sequences Xⁿ and Yⁿ are encoded at separate encoders and decoded together. When the encoder of source Y is broken, another sequence Xⁿ still can be decoded to achieve a nontrivial distortion. Further, Xⁿ can be recovered losslessly once that broken encoder is restored. A practical coding scheme is developed using low density graph codes. Moreover, by generalizing the coding scheme of Robust Slepian-Wolf coding problem, two approaches are proposed for the Wyner-Ziv problem using the low density graph codes.</p> |
URI: | http://hdl.handle.net/11375/9384 |
Identifier: | opendissertations/4512 5530 2046084 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 1.34 MB | Adobe PDF | View/Open |
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