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Permanent link (DOI): https://doi.org/10.7939/R3HG70

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Customized Raptor Code Designs for Finite Lengths and Practical Settings Open Access

Descriptions

Other title
Subject/Keyword
annotated raptor codes
raptor codes
inactivation decoding
finite length analysis
rateless codes
error-correcting codes
lt codes
finite length design
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Mahdaviani, Kaveh
Supervisor and department
Tellambura, Chintha (Electrical and Computer Engineering)
Ardakani, Masoud (Electrical and Computer Engineering)
Examining committee member and department
Salavatipour, Mohammad R. (Computing Science)
Jiang, Hai (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Communications
Date accepted
2012-08-31T13:30:43Z
Graduation date
2012-11
Degree
Master of Science
Degree level
Master's
Abstract
In this dissertation we present new methods for designing efficient Raptor codes in finite and practical block lengths. First we propose an extension of Raptor codes which keeps all the desirable properties, including the linear complexity of encoding and decoding per information bit, and improves the performance in terms of the reception rate. Our simulations show a 10% reduction in the required overhead at the benchmark block length of 64,520 bits, and with the same complexity per information bit. Second, we consider the practical setting with short block lengths of 1000
Language
English
DOI
doi:10.7939/R3HG70
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
K. Mahdaviani, M. Ardakani, and C. Tellambura, “Annotated Raptor Codes,” in Proc. of the IEEE Information Theory Workshop (ITW), Paraty, Brazil, Oct. 2011, pp. 272–276.K. Mahdaviani, M. Ardakani, and C. Tellambura, “On Raptor Code Design for Inactivation Decoding,” accepted for publication in IEEE Transactions on Communications, Apr. 2012.

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