Title | ||
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Recursive Block Markov Superposition Transmission of Short Codes: Construction, Analysis, and Applications. |
Abstract | ||
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Extensive studies have demonstrated the effectiveness and the flexibility of constructing capacity-approaching codes by block Markov superposition transmission (BMST). However, to achieve high performance, BMST codes typically require large encoding memories and large decoding window sizes, which result in high decoding complexity and high decoding latency. To address these issues, we introduce th... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TCOMM.2018.2796607 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Decoding,Iterative decoding,Memory management,Convolutional codes,Block codes | Convolutional code,EXIT chart,Computer science,Block code,Markov chain,Algorithm,Electronic engineering,Memory management,Decoding methods,Bit error rate,Encoding (memory) | Journal |
Volume | Issue | ISSN |
66 | 7 | 0090-6778 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shancheng Zhao | 1 | 66 | 11.78 |
Xiao Ma | 2 | 487 | 64.77 |
Qin Huang | 3 | 355 | 34.55 |
Baoming Bai | 4 | 353 | 63.90 |