Abstract | ||
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Raptor codes are rateless codes that achieve the capacity on the binary erasure channels. However the maximum degree of optimal output degree distribution is unbounded. This leads to a computational complexity problem both at encoders and decoders. Aref and Urbanke investigated the potential advantage of universal achieving-capacity property of proposed spatially-coupled (SC) low-density generator matrix (LDGM) codes. However the decoding error probability of SC-LDGM codes is bounded away from 0. In this paper, we investigate SC-LDGM codes concatenated with SC low-density parity-check codes. The proposed codes can be regarded as SC Hsu-Anastasopoulos rateless codes. We derive a lower bound of the asymptotic overhead from stability analysis for successful decoding by density evolution. The numerical calculation reveals that the lower bound is tight. We observe that with a sufficiently large number of information bits, the asymptotic overhead and the decoding error rate approach 0 with bounded maximum degree. |
Year | DOI | Venue |
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2013 | 10.1109/ISIT.2013.6620664 | Information Theory Proceedings |
Keywords | DocType | Volume |
computational complexity,matrix algebra,parity check codes,Hsu-Anastasopoulos rateless codes,LDGM codes,Raptor codes,SC low-density parity-check codes,binary erasure channels,computational complexity problem,density evolution,optimal output degree distribution,spatially-coupled low-density generator matrix codes,spatially-coupled precoded rateless codes,stability analysis | Journal | abs/1302.1511 |
ISSN | Citations | PageRank |
2157-8095 | 2 | 0.41 |
References | Authors | |
9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kosuke Sakata | 1 | 2 | 0.41 |
K. Kasai | 2 | 319 | 33.57 |
Kohichi Sakaniwa | 3 | 330 | 47.69 |