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윤성환

Yoon, Sung Whan
Machine Intelligence and Information Learning Lab.
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dc.citation.conferencePlace FR -
dc.citation.conferencePlace Paris -
dc.citation.endPage 954 -
dc.citation.startPage 948 -
dc.citation.title 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017 -
dc.contributor.author Yoon, Sung Whan -
dc.contributor.author Moon, Jaekyun -
dc.date.accessioned 2023-12-19T19:06:33Z -
dc.date.available 2023-12-19T19:06:33Z -
dc.date.created 2020-03-26 -
dc.date.issued 2017-05-21 -
dc.description.abstract In this paper, highly efficient practical concatenated coding schemes with multiple short length polar codes and single-parity-check codes are proposed. As for hardware complexity, required memory space is significantly reduced by utilizing small decoding units geared to serialized decoding of short-length component polar codes. In theoretic analysis, each component short polar code shows much improved error-rate scaling-behavior thanks to simple single-parity-check decoding; the error rate decays with increasing overall code length as fast as in single stand alone code while retaining considerable hardware-memory advantage. Moreover, by applying list decoding and cyclic-redundancy-checking to each short component polar code, finite-length error-rate performance is comparable to list decoding of CRC-aided long polar codes while offering much lower memory-complexity implementation options. -
dc.identifier.bibliographicCitation 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017, pp.948 - 954 -
dc.identifier.doi 10.1109/ICCW.2017.7962781 -
dc.identifier.issn 0000-0000 -
dc.identifier.scopusid 2-s2.0-85026207689 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/32765 -
dc.identifier.url https://ieeexplore.ieee.org/document/7962781 -
dc.language 영어 -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Low-complexity concatenated polar codes with excellent scaling behavior -
dc.type Conference Paper -
dc.date.conferenceDate 2017-05-21 -

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