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A low-complexity decoding algorithm for systematic binary deterministic rateless codes

Authors: Xincheng Zhang; Bo Li; Dengsheng Lin; Shaoqian Li;

A low-complexity decoding algorithm for systematic binary deterministic rateless codes

Abstract

In this paper, we propose two low-complexity decoding algorithms for systematic binary deterministic rateless codes. One is based on segmentation available for large information block. Segmentation-based decoding algorithm can dramatically reduce the complexity on solving inverse of matrix, which dominates the complexity of decoding. Another is based on enumeration for small information block. Enumeration-based decoding algorithm can avoid solving the inverse of matrix, which is of advantage in term of complexity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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