Design of complexity-optimized raptor codes for BI-AWGN channel

This paper aims to design a class of Raptor codes with optimized complexity for the binary input additive white Gaussian noise (BI-AWGN) channel under the joint decoding framework in which soft information is exchanged between the pre-code and the LT code iteratively. Utilizing the belief propagatio...

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Bibliographic Details

Published in:	2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) pp. 824 - 829
Main Authors:	Chuangmu Yao, Zhaoyang Zhang, Kun Tu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2013
Subjects:	Approximation methods Complexity theory Decoding Encoding Iterative decoding Optimization
ISSN:	2166-9570
Online Access:	Get full text
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