Date of Award
2010
Degree Type
Thesis
Degree Name
Master of Applied Science (MASc)
Department
Electrical and Computer Engineering
Supervisor
Kon Max Wong
Language
English
Abstract
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.
Recommended Citation
Huang, Min, "Robust Slepian-Wolf coding Using Low-Density Graph Codes" (2010). Open Access Dissertations and Theses. Paper 4512.
http://digitalcommons.mcmaster.ca/opendissertations/4512
McMaster University Library