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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

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