Analysis of ripple size evolution in the LT process.

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Bibliographic Details
Title: Analysis of ripple size evolution in the LT process.
Authors: Khonsari, Hossein1 h.khonsari@queensu.ca, Okpotse, Toritseju1, Valipour, Mehrdad2, Yousefi, Shahram1
Source: IET Communications (Wiley-Blackwell). 2018, Vol. 12 Issue 14, p1686-1693. 8p. 2 Black and White Photographs, 1 Diagram, 1 Chart, 7 Graphs.
Subjects: Luby transform codes, Encoding, Decoders & decoding, Computer science, Probability theory
Abstract: This study introduces a novel framework and analysis tool to monitor the evolution of the ripple size during the Lubytransform (LT) decoding process. It provides a closed-form probability expression to statistically describe the behaviour of the ripple size at each step of the decoding. The probability function is conditioned on the size of the ripple in the previous step, the number of recovered source symbols and the encoded symbols' degree distribution. The authors further derive a closed-form expression for the ripple size after new encoded symbols are received by a decoder with an empty ripple. This relates to the activation of belief propagation decoding attempts once premature terminations occur. They validate their analyses through numerical examples of an LT-coded system. The results show that their analyses precisely coincide with the numerical results. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This study introduces a novel framework and analysis tool to monitor the evolution of the ripple size during the Lubytransform (LT) decoding process. It provides a closed-form probability expression to statistically describe the behaviour of the ripple size at each step of the decoding. The probability function is conditioned on the size of the ripple in the previous step, the number of recovered source symbols and the encoded symbols' degree distribution. The authors further derive a closed-form expression for the ripple size after new encoded symbols are received by a decoder with an empty ripple. This relates to the activation of belief propagation decoding attempts once premature terminations occur. They validate their analyses through numerical examples of an LT-coded system. The results show that their analyses precisely coincide with the numerical results. [ABSTRACT FROM AUTHOR]
ISSN:17518628
DOI:10.1049/iet-com.2017.1352